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	<title>The AstroStat Slog &#187; introductory</title>
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	<link>http://groundtruth.info/AstroStat/slog</link>
	<description>Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders</description>
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			<item>
		<title>arxiv list</title>
		<link>http://groundtruth.info/AstroStat/slog/2009/arxiv-list/</link>
		<comments>http://groundtruth.info/AstroStat/slog/2009/arxiv-list/#comments</comments>
		<pubDate>Thu, 10 Dec 2009 21:18:36 +0000</pubDate>
		<dc:creator>hlee</dc:creator>
				<category><![CDATA[Cross-Cultural]]></category>
		<category><![CDATA[Stat]]></category>
		<category><![CDATA[arXiv]]></category>
		<category><![CDATA[collaboration]]></category>
		<category><![CDATA[education]]></category>
		<category><![CDATA[introduction]]></category>
		<category><![CDATA[introductory]]></category>
		<category><![CDATA[personal arxiv]]></category>

		<guid isPermaLink="false">http://groundtruth.info/AstroStat/slog/?p=4122</guid>
		<description><![CDATA[When I begin to subscribe arXiv/astro-ph and arXiv/stat, although only for a year I listed astro-ph papers featuring relatively advanced statistics, I also kept more papers relevant to astrostatistics beyond astro-ph or introducing hot topics in statistics and computer science for astronomical data applications. While creating my own arXiv as follows, I had a hope [...]]]></description>
			<content:encoded><![CDATA[<p>When I begin to subscribe arXiv/astro-ph and arXiv/stat, although only for a year I listed astro-ph papers featuring relatively advanced statistics, I also kept more papers relevant to astrostatistics beyond astro-ph or introducing hot topics in statistics and computer science for astronomical data applications. While creating my own arXiv as follows, I had a hope to write up short introductions of statistics that are unlikely known to most of astronomers (like my MADS) and matching subjects/targets in astronomy. I thought such effort could spawn new collaborations or could expand understanding of statistics among astronomers (see <a href="http://groundtruth.info/AstroStat/slog/2009/magic-crystal/"> Magic Crystal</a>). Well, I couldn&#8217;t catch up the growth rate and it&#8217;s about time to terminate the hope. However, I thought some papers can be useful to some slog subscribers. I hope they do. <span id="more-4122"></span></p>
<ul>
<li> [0704.1743] Fukugita, Nakamura, Okamura, et al (catalogue of morphologically classified galaxies from the SDSS <b>database for trying various machine learning algorithms</b> for automated classification)
</li>
<li>[0911.1015] Gudendort, Segers (<b> Extreme-Value Copulas</b>)
</li>
<li>[0710.2024] Franz (Ratios: A short guide to confidence limits and proper use)
</li>
<li>[0707.4473] Covey, Ivezic, Schlegel, Finkbeiner, et al. <b>(Outliers in SDSS and 2MASS)</b>
</li>
<li>[0511503] (astro-ph) MNRAS,Nolan, Harva, Kaban, Raychaudhury, <b>data driven bayesian approach</b>
</li>
<li>[0505017] (cs) Abellanas, Clavero, Hurtado, Delaunay depth
</li>
<li>[0706.2704] (astro-ph) Wang, Zhang, Liu, Zhao (SDSS, kernel regression) <b> Quantile regression can be applied</b>
</li>
<li>[0805.0056] Kong, Mizera, <b>Quantile Tomography: using quantiles with multivariate data</b>
</li>
<li>[0907.5236] Gosh, Resnick Mean Excess Plots, Pareto
</li>
<li>[0907.3454] Rinaldo, Wasserman (Low-Noise Density Clustering)
</li>
<li>[0906.3979] Friendly (Golden Age of Statistical Graphics)
</li>
<li>[0905.2819] Benjamini, Gavrilov (FDR control)
</li>
<li>[0903.2651] Ambler, Silverman (Spatial point processes)
</li>
<li>[0906.0562] Loubes, Rochet, Regularization with Approx. L^2 maximum entropy method
</li>
<li>[0904.0430] Diederichs, Juditski, et al (Sparse NonGaussian Component Analysis)
</li>
<li>[0905.0454] McWhirter,Proudler (eds) *Mathematics in Signal Processing V*<br />
   [Tensor Decompositions, by *Peirre Comon*]
</li>
<li>[0904.3842] Li, Dong (Dimension Reduction)
</li>
<li>[0903.1283] Wiesel, Eldar, Hero III (Covariance estimation, graphical models)
</li>
<li>[0904.1148] Beynaud-Bouret, Rivoirard
</li>
<li>[0903.5147] cai, Zhou (Data driven BLock Thresholding approach to wavelet estimation)
</li>
<li>[0905.0483] Harmany, Marcia, Willet (Sparse Poisson intensity reconstruction)
</li>
<li>[0904.2949] Jhort, McKeague, van Keilegom (Empirical Likelihood)
</li>
<li>[0809.3373] (astro-ph) Bailer-Jones, Smith, et al. (GAIA, SVM)
</li>
<li>[0904.0156] Berger, Bernardo, Sun (formal definition of reference priors)
</li>
<li>[0703360] (math.st) Drton *(LRTs and singularities)*
</li>
<li>[0807.3719] Shi, Belkin, Bin Yu
</li>
<li>[0903.5480] Andrieu, Roberts
</li>
<li>[0903.3620] Casella, Consonni (Reconciling Model Selection and Prediction)
</li>
<li>[0903.0447] Alqallaf, van Aelst et al (propa. outliers in multivariate data)
</li>
<li>[0903.2654] Ambler, Silverman (Bayesian wvelet thresholding)
</li>
<li>[0206366] (astro-ph) van de Weygaert, *Comis Foam*
</li>
<li>[0806.0560] Noble, Nowak, Beyond XSPEC, ISIS
</li>
<li>[0908.3553] Liang, Stochastic approximation (SAMC), Bayesian model selection
</li>
<li>[0804.3829] Liu, Li, *Hao,* Jin
</li>
<li>[0802.2097] Roelofs, Bassa, et al
</li>
<li>[0805.3983] Carlberg, Sullivan, et al (Clusering of SN IA host galaxies)
</li>
<li>[0808.0572] *Efron,  Microarrays, Empirical Bayes, and Two groups model*
</li>
<li>[0805.4264] Tempel, Einasto, Einasto, Saar, Anatomy of galaxy functions
</li>
<li>[0909.0170] Estate, Khmaladze, Koul, (GoF problem for errors in nonparametric regression: dist&#8217;n free approach)
</li>
<li>[0909.0608] *Liu, Lindsay*
</li>
<li>[0702052] de Wit, Auchere (astro-ph, multispectral analysis of solar EUV images)
</li>
<li>[0508651] Pires, Juin, Yvon, et al (astro-ph, Sunyaev-Zel&#8217;dovich clusters)
</li>
<li>[0808.0012] Caticha (on slog, lectures on prob., entropy &amp; stat. physics)
</li>
<li>[0808.3587] Verbeke, Molenberghs, Beunckens, Model selection with incomplete data
</li>
<li>[0806.1487] Scheider et al. Sim. and cos. inference: a statistical model for power spectra means and covarances.
</li>
<li>[0807.4209] Adamakis, Morton-Jones, Walsh (solar physics, Bayes Factor)
</li>
<li>[0808.3852] Diaconis, Khare, Saloff-Coste
</li>
<li>[0807.3734] Rocha, Zhao, *Bin Yu* (SPLICE)
</li>
<li>[0807.1005] Erven, Grunwald, Rooij ( &#8230; AIC-BIC dilemma)
</li>
<li>[0805.2838] *E.L. Lehmann* (historical account)
</li>
<li>[0805.4136] Genovese, Freeman, Wasserman, Nichol, Miller
</li>
<li>[0806.3301] Tibshirani (not robert, but ryan)
</li>
<li>[0706.3622] Wittek, Barko (physics,data-an)
</li>
<li>[0805.4417] Georgakakis, et at (logN-logS, a bit fishy to me)
</li>
<li>[0805.4141] Genovese, Perone-Pacifico, et al
</li>
<li>[0806.3286] Chipman, George, McChulloch (BART)
</li>
<li>[0710.2245] Efron (size, power, and FDR)
</li>
<li>[0807.2900] Richards, Freeman, Lee, Schafer (PCA)
</li>
<li>[0609042] (math.ST) Hoff (SVD)
</li>
<li>[0707.0701] (cs.AI) Luss, d&#8217;Aspremont (Sparse PCA)
</li>
<li>[0901.4252] Benko, Hardle, Kneip (Common Functional PC)
</li>
<li>[0505017] (cs.CG) Abellanas, Claverol, Hutado (Delaunay depth)
</li>
<li>[0906.1905] (astro-ph.IM) Guio, Achilleos, VOISE, Voronoi Image Segmentation algorithm
</li>
<li>[0605610] (astro-ph) Sochting, Huber, Clowes, Howell (FSVS Cluster Catalogue, Voronoi Tessellation)
</li>
<li>[0611473] (math.ST) Rigollet, Vert, Plug-in, Density Level Sets
</li>
<li>[0707.0481] Lee, Nadler, Wasserman (Treelets)
</li>
<li>[0805.4417] Georgakakis, et at (logN-logS, a bit fishy to me)
</li>
<li>[0805.4141] Genovese, Perone-Pacifico, et al
</li>
<li>[0806.3286] Chipman, George, McChulloch (BART)
</li>
<li>[0710.2245] Efron (size, power, and FDR)
</li>
<li>[0807.2900] Richards, Freeman, Lee, Schafer (PCA)
</li>
<li>[0609042] (math.ST) Hoff (SVD)
</li>
<li>[0707.0701] (cs.AI) Luss, d&#8217;Aspremont (Sparse PCA)
</li>
<li>[0901.4252] Benko, Hardle, Kneip (Common Functional PC)
</li>
<li>[0505017] (cs.CG) Abellanas, Claverol, Hutado (Delaunay depth)
</li>
<li>[0906.1905] (astro-ph.IM) Guio, Achilleos, VOISE, Voronoi Image Segmentation algorithm
</li>
<li>[0605610] (astro-ph) Sochting, Huber, Clowes, Howell (FSVS Cluster Catalogue, Voronoi Tessellation)
</li>
<li>[0611473] (math.ST) Rigollet, Vert, Plug-in, Density Level Sets
</li>
<li>[0707.0481] Lee, Nadler, Wasserman (Treelets)
</li>
<li>[0805.2325] (astro-ph) Loh (block boostrap, subsampling)
</li>
<li>[0901.0751] Chen, Wu, Yi (Copula, Semiparametric Markov Model)
</li>
<li>[0911.3944] White, Khudanpur, Wolfe (Likelihood based Semi-Supervised Model Selection with applications to Speech Processing)
</li>
<li>[0911.4650] Varoquaux, Sadaghiani
</li>
<li>[0803.2344] Vossen
</li>
<li>[0805.0269] Leach et al (Component Separation methods for the Plank mission: Appendix reviews various component separation/dimension reduction methods)
</li>
<li>[0907.4728] Arlot, Celisse (survey of CV for model selection)
</li>
<li>[0908.2503] Biau, Parta (sequential quantile prediction of time series)
</li>
<li>[0905.4378] Ben-Haim, Eldar, (CRBound for Sparse Estimation)
</li>
<li>[0906.3082] Cohen, Sackrowitz, Xu (Multiple Testing for dependent case)
</li>
<li>[0906.3091] Sarkar, Guo (FDR)
</li>
<li>[0903.5161] Rinner, Dickhaus, Roters (FDR)
</li>
<li>[0810.4808] Huang, CHen (ANOVA, coefficient, F-test for local poly. regression)
</li>
<li>[0901.4752] Chretien, (Robust est. of Gaussian mixtures)
</li>
<li>[0908.2918] James, Wang, Zhu (Functional linear regression)
</li>
<li>[0908.3961] Clifford, Cosma
</li>
<li>[0906.3662] Lindquist (stat. anal. fMRI data)
</li>
<li>[0706.1062] Clauset, Shalizi, Newman (PowerLaw dist&#8217;n)
</li>
<li>[0712.0881] Zuo, Hastie, Tibshirani (DoF, Lasso)
</li>
<li>[0712.0901] Jiang, Luan, Wang
</li>
<li>[0705.4020] Chattopadhyay, Misra, et al (GRB, classification, model based)
</li>
<li>[0707.1891] Holmberg, Nordstrom, Anderson (isochrones, calibration, Geneva-Copenhagen)
</li>
<li>[0708.1510] Cobb, Bailyn, Connecting GRBs and galaxies:
</li>
<li>[0705.2774] Kelly
</li>
<li>[0708.0302] Chamger, James, Lambert, Wiel (incremental quantile, monitoring)
</li>
<li>[0708.0169] Mikhail, Data-driven goodness of fit tests, attempts to generalize the theory of score tests
</li>
<li>[0706.1495] Huskova, Kirch, Bootstrapping CI for the change point of time series
</li>
<li>[0708.4030] Richer, Dotter, et al (NGC6397, GC, CMD, LF)
</li>
<li>[0708.1071] Shepp, Statistical thinking: From Tukey to Vardi and beyond
</li>
<li>[0708.0499] *Hunter, Wang, Hettmansperger *
</li>
<li>[0704.0781] Cabrera, Firmani et al (Swift, long GRBs)
</li>
<li>[0706.2590] Ramos, &amp;Extreme Value Theory and the solar cycle (pareto dist&#8217;n, survival)*
</li>
<li>[0706.2704] Wang, Zhang, Liu, Zhao (kernel regression, CV, redshift) &lt;- quantile regression?
</li>
<li>[0707.1611] Budavari, Szalay, (identification, Bayes factor)
</li>
<li>[0707.1900] Vetere, Soffitta, et al. (GRB, BeppoSAX)
</li>
<li>[0707.1982] Kim, *Liddle* (random matrix mass spectrum)
</li>
<li>[0707.2064] Allen, (Star Formation, Bayesian)
</li>
<li>[0011057] (hep-ex) Cranmer, Kernel Estimation in High Energy Physics
</li>
<li>[0512484] (astro-ph) Mukherjee, Parkinson, Corasaniti, *Liddle* (model selection, dark energy)
</li>
<li>[0701113] (astro-ph) Liddle (information criteria for astrophysical model selection)
</li>
<li>[0810.2821] Cozman, concentration inequalities and LLNs under irrelevance of lower and upper expectations.
</li>
<li>[0810.5275] Hall, Park, Samworth
</li>
<li>[0709.1538] Einbeck, Evers, *Bailer-Jones*, localized principal components
</li>
<li>[0804.4068] *Pires, Stark*, et al, LASTLens (week lensing)
</li>
<li>[0804.0713] Delaigle, Hall, Meister
</li>
<li>[0802.0131] (astro-ph) Bobin, Starck, Ottensamer (*Compressed Sensing* in Astronomy)
</li>
<li>[0803.1708] Taylor, Worsley, (Random Fields of Multivariate Test Statistics, shape analysis)
</li>
<li>[0803.1736] Salibian-Barrera, Yohai (high breakdown point robust regression, censored data)
</li>
<li>[0803.4026] Amini, Wainwright, (Sparse Principal Components)
</li>
<li>[0803.1752] Ren, (weighted empirical liklihood)
</li>
<li>[0803.3863] Efron (simultaneous inference)
</li>
<li>[0801.3552] Clifford, Cosma, probabilistic counting algorithms
</li>
<li>[0802.1406] Blanchard, Roquain (multiple testing)
</li>
<li>[0707.2877] van de Weygaert
</li>
<li>[0806.3932] Vavrek, Balazs, Meszaros, etal (testing the randomness in the sky distribution of GRBs), MNRAS, 391(3), 2008
</li>
<li>[0911.3769] Chan, Spatial clustering, LRT
</li>
<li>[0911.3749] Hall, Miller
</li>
<li>[0909.0184] Chan, Hall robust nearest neighbor methods for classifying high dimensional data
</li>
<li>[0911.3827] Jung, Marron, PCA High Dim
</li>
<li>[0911.3531] Owen, Karl Pearson&#8217;s meta analysis revisited
</li>
<li>[0911.3501] Wang, Zhu, Zhou, Quantile regression varying coefficient models
</li>
<li>[0505200] (physica) *Pilla, Loader, Taylor*
</li>
<li>[0501289] (math.ST) *Meinshausen, Rice* <b>Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses. </b>
</li>
<li>[0806.1326] Velez, Ariste, Semel (PCA, Sun, magnetic fields)
</li>
<li>[0906.4582] *Belabbas, Wolfe*, PCA, high-dimensional data
</li>
<li>[0903.3002] Huang, Zhang, Metaxas Learning with Structured Sparsity
</li>
<li>[9209010] (gr-qc) Finn, Detection, Measurement, and Gravitational Radiation
</li>
<li>[0112467] (astro-ph) Petrosian
</li>
<li>[0103040] (astro-ph) Peebles, N-point correlation functions
</li>
<li>[9912329] (astro-ph) Kerscher, Stat. analysis of large scale structure in the universe <b>Minkowski functional and J function</b>
</li>
<li>[0107417] Connolly, Scranton, et al. Early SDSS
</li>
<li>[0511503] (math.ST) <b>Pilla, Loader, Volume-of-Tube Formula: Perturbation tests, mixture models, and scan statistics</b>
</li>
<li>[0503033] (astro-ph) Battye, Moss
</li>
<li>[0504022] (astro-ph) Trotta, <b> Applications of Bayes Model Selection to cosmological parameters</b>
</li>
<li>[0304301] (astro-ph) Nakamichi, Morikawa, AIC, is galaxy dist&#8217;n non-extensive and non-gaussian?
</li>
<li>[0110230] (astro-ph) Nichol, Chong, Connolly, et al
</li>
<li>[0806.1506] (astro-ph) Unzicker, Fischer, <b> 2D galaxy dist&#8217;n, SDSS</b>
</li>
<li>[0304005] (astro-ph) Maller, McIntosh, et al. (Angular correlation funtion, Power spectrum)
</li>
<li>[0108439] (astro-ph) Boschan (angular and 3D correlation functions)
</li>
<li>[9601103 (astro-ph) Maddox, Efstathiou, Sutherland (sys errors, angular correlation function)
</li>
<li>[0806.0520] Vio, Andreani
</li>
<li>[0807.4672] Zhang, Johnson, Little, Cao
</li>
<li>[0911.4546] Hobert, Roy, Robert
</li>
<li>[0911.4207] Calsaverini, Vicente (information theory and copula)
</li>
<li>[0911.4021] Fan, Wu, Feng  (Local Quasi-Likelihood with a parametric guide) *
</li>
<li>[0911.4076] Hall, Jin, Miller
</li>
<li>[0911.4080] Genovese, Jin, Wasserman
</li>
<li>[0802.2174] Faure, Kneib, et al. (strong lense, COSMOS)
</li>
<li>[0802.1213] Bridle et al (Great08 Challenge)
</li>
<li>[0711.0690] Davies, Kovac, Meise (Nonparametric Regression, Confidence regions and regularization)
</li>
<li>[0901.3245] Nadler
</li>
<li>[0908.2901] Hong, Meeker, McCalley
</li>
<li>[0501221] (math) Cadre (Kernel Estimation of Density Level Sets)
</li>
<li>[0908.2926] Oreshkin, Coates (Error Propagation in Particle Filters)
</li>
<li>[0811.1663] *Lyons* <b>(Open Statistical Issues in Particle Physics)</b>
</li>
<li>[0901.4392] Johnstone, Lu (Sparse Principle Component Analysis)
</li>
<li>[0803.2095] Hall, Jin (HC)
</li>
<li>[0709.4078] Giffin (&#8230; Life after Shannon)
</li>
<li>[0802.3364] Leeb (model selection and evalutioin)
</li>
<li>[0810.4752] Luxburg, Scholkopf (Stat. Learning Theory&#8230;)
</li>
<li>[0708.1441] van de Weygaert, Schaap, The cosmic web: geometric analysis
</li>
<li>[0804.2752] Buhlmann, Hothorn (Boosting algorithms&#8230;)
</li>
<li>[0810.0944] Aydin, Pataki, Wang, Bullitt, Marron (PCA for trees)
</li>
<li>[0711.0989] Chen (SDSS, volume limited sample)
</li>
<li>[0709.1538] Einbeck, Evers, Bailer-Jones (Localized PC)
</li>
<li>[0610835] (math.ST) Lehmann (On LRTs)
</li>
<li>[0604410] (math.ST) Buntine, Discrete Component Analysis
</li>
<li>[0707.4621] Hallin, Paindaveine (semiparametrically efficient rank-based inference I)
</li>
<li>[0708.0079] Hallin, H. Oja, Paindaveine  ( same as above II)
</li>
<li>[0708.0976] Singh, Xie, Strawderman (confidence distribution)
</li>
<li>[0706.3014] Gordon, Trotta (Bayesian calibrated significance levels.. the usage of p-values looks awkward)
</li>
<li>[0709.0711] Quireza, Rocha-Pinto, Maciel
</li>
<li>[0709.1208] Kuin, Rosen (measurement erros)
</li>
<li>[0709.1359] Huertas-Company, et al (SVM, morphological classification)
</li>
<li>[0708.2340] Miller, Kitching, Heymans, et. al. (Bayesian Galaxy Shape Measurement, weak lensing survey)
</li>
<li>[0709.4316] Farchione, Kabaila (confidence intervals for the normal mean)
</li>
<li>[0710.4245] Fearnhead, Papaspiliopoulos, Roberts (Particle Filters)
</li>
<li>[0705.4199] (astro-ph) Leccardi, Molendi , an unbiased temp estimator for stat. poor X-ray specra (can be improved&#8230; )
</li>
<li>[0712.1663] Meinshausen, *Bickel, Rice* (efficient blind search)
</li>
<li>[0706.4108] *Bickel, Kleijn, Rice* (Detecting Periodicity in Photon Arrival Times)
</li>
<li>[0704.1584] Leeb, Potscher (estimate the unconditional distribution of post model selection estimator)
</li>
<li>[0711.2509] Pope, Szapudi (Shrinkage Est. Power Spectrum Covariance matrix)
</li>
<li>[0703746] (math.ST) Flegal, Maran, Jones (MCMC: can we trush the third significant figure?)
</li>
<li>[0710.1965] (physics.soc-ph) Volchenkov, Blanchard, Sestieri of Venice
</li>
<li>[0712.0637] Becker, Silvestri, Owen, Ivezic, Lupton (in pursuit of LSST science requirements)
</li>
<li>[0703040] Johnston, Teodoro, *Martin Hendry*  Completeness I: revisted, reviewed, and revived
</li>
<li>[0910.5449] Friedenberg, Genovese (multiple testing, remote sensing, LSST)
</li>
<li>[0903.0474] Nordman, <b>Stationary Bootstrap&#8217;s Variance</b> (Check Lahiri99)
</li>
<li>[0706.1062] (physics.data-an) Clauset, Shalizi, Newman (power law distributions in empirical data)
</li>
<li>[0805.2946] Kelly, Fan, Vestergaard (LF,  Gaussian mixture, MCMC)
</li>
<li>[0503373] (astro-ph) Starck, Pires, Refregier (weak lensing mass reconstruction using wavelets)
</li>
<li>[0909.0349] Panaretos
</li>
<li>[0903.5463] Stadler, Buhlmann
</li>
<li>[0906.2128] Hall, Lee, Park, Paul
</li>
<li>[0906.2530] Donoho, Tanner
</li>
<li>[0905.3217] Hirakawa, Wolfe
</li>
<li>[0903.0464] Clarke, Hall
</li>
<li>[0701196] (math) Lee, Meng
</li>
<li>[0805.4136] Genovese, Freeman, Wasserman, NIchol, Miller
</li>
<li>[0705.2774] Kelly
</li>
<li>[0910.1473] Lieshout
</li>
<li>[0906.1698] Spokoiny
</li>
<li>[0704.3704] Feroz, Hobson
</li>
<li>[0711.2349] Muller, Welsh
</li>
<li>[0711.3236] Kabaila, Giri
</li>
<li>[0711.1917] Leng
</li>
<li>[0802.0536] Wang
</li>
<li>[0801.4627] Potscher, Scheider
</li>
<li>[0711.0660] Potscher, Leeb
</li>
<li>[0711.1036] Potscher
</li>
<li>[0702781] (math.st) Potscher
</li>
<li>[0711.0993] Kabaila, Giri
</li>
<li>[0802.0069] Ghosal, Lember, Vaart
</li>
<li>[0704.1466] Leeb, Potscher
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<li>[0701781] (math) Grochenig, Potscher, Rauhut
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<li>[0702703] (math.ST) Leeb, Potscher
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<li><a href="http://arxiv.org/abs/0911.1777">[astro-ph:0911.1777] Computing the Bayesian Evidence from a Markov Chain Monte Carlo Simulation of the Posterior Distribution (Martin Weinberg)<br />
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<li>[0812.4933] Wiaux, Jacques (Compressed sensing, interferometry)
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<li>[0708.2184] Sung, Geyer
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<li>[0811.1705]  Meyer
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<li>[0811.1700] Witten, Tibshirani
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<li>[0706.1703] Land, SLosar
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<li>[0712.1458] Loh, Zhu
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<li>[0808.4042] Commenges
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<li>[0806.3978] Vincent Vu, Bin Yu, Robert Kass
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<li>[0808.4032] Stigler
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<li>[0805.1944] astro-ph
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<li>[0807.1815] Cabella, Marinucci
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<li>[0808.0777] Buja, Kunsch
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<li>[0809.1024] Xu, Grunwald
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<li>[0807.4081] Roquain, Wiel
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<li>[0806.4105] Rofling, Ribshirani
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<li>[0808.0657 HUbert, Rousseeuw, Aelst
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<li>[0112467] (astro-ph) Petrosian
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<li>[0808.2902] Robert, Casella, A History of MCMC
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<li>[0809.2754] Grunwald, VItanyi, Algorithmic INofmration THeory
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<li>[0809.4866] Carter, Raich, Hero,  An information geometric framework for DImensionality reduction
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<li>[0809.5032] Allman, Matias, Rhodes
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<li>[0811.0528] Owen
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<li>[0811.0757] Chamandy, Tayler, Gosselin
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<li>[0810.3985] Stute, Wang
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<li>[0804.2996] Stigler
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<li>[0807.4086] Commenges, Sayyareh, Letenneur&#8230;
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<li>[0710.5343] Peng, Paul, MLE, functional PC, sparse longitudinal data
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<li>[0709.1648] Cator, Jongbloed, et al. *Asymptotics: Particles, Processes, and Inverse problems*
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<li>[0710.3478] *Hall, Qiu, Nonparametric Est. of a PSF in Multivariate Problems*
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<li>[0804.3034] Catalan, Isern, Carcia-Berro, Ribas (some stellar clusters, LF, Mass F, weighted least square)
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<li>[0801.1081] Hernandez, Valls-Gabaud, estimation of basic parameters, stellar populations
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<li>[0410072] (math.ST) Donoho, Jin, HC, detecting sparse heterogeneous mixtures
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<li>[0803.3863] Efron
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<li>[0706.4190] Rondonotti, Marron, Park, SiZer for time series
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<li>[0709.0709] Lian, Bayes and empirical Bayes changepoint problems
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<li>[0802.3916] Carvalho, Rocha, Hobson, PowellSnakes
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<li>[0709.0300] Roger, Ferrera, Lahav, et al, Decoding the spectra of SDSS early-type galaxies
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<li>[0810.4807] Pesquet, et al. SURE, Signal/Image Devonvolution
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<li>[0906.0346] (cs.DM) Semiparametric estimation of a noise model with quantization errors
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<li>[0207026] (hep-ex) Barlow, <b> Systematic Errors: Facts and Fictions</b>
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<li>[0705.4199, Leccardi, Molendi, <b> unbiased temperature estimator for statistically poor x-ray spectra</b>
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<li>[0709.1208] Kuin, Rosen, <b>measurement error</b> Swift
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<li>[0708.4316] Farchione, *Kabila* <b> confidence intervals</b> for the normal mean utilizing prior information
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<li>[0708.0976] Singh, Xia, Strawderman <b> confidence distribution</b>
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<li>[0901.0721] Albrecht, et al. (dark energy)
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<li>[0908.3593] Singh, Scott, Nowak, adaptive hausdorff estimation of density level sets
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<li>[0702052] (astro-ph) de Wit, Auchere, Multipectral analysis, sun, EUV, morphology
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<li>[0706.1580] Lopes, <b>photometric redshifts, SDSS</b>
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<li>[0106038] (astro-ph) Richards et al <b>photometric redshifts of quasars</b>
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</ul>
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