The AstroStat Slog

Because of blogging and projects I worked on, I happened to collect quite many publications in Astronomy. The collection is biased toward my personal interests. However, these authors discussed statistics in a wide range. So, I felt my astronomical bibliography can be useful to slog audience. Some areas could match your interests. Or your own name can be found.

• MNRAS, 362, 826-832 (2005) Cayon, Jin, Treaster, Higher Criticism statistic: detecting and identifying non-Gaussianityin the WMAP first year data.(found recently for a [MADS] post about HC)
• MNRAS, 347, 1241-1254 (2004) Sochting, Clowes, Campusano, tessellation

Xray, LF, PowerLaw estimation, Poisson, Pareto, truncated, heavy tail dist’n

• ApJ, 310, 334-342 (1986), Schmitt, Maccacaro, estimating alpha of pareto, poisson noise
• ApJ, 293, 178-191, (1985), Schmitt, upper bounds
• ApJ, 374, 344-355, (1991), Kraft, Burrow, Nousek confidence limits
• ApJ, 228, 939-947 (1979), Cash, MLE
• ApJ, 518,380-393 (1999) Mighell, parameter estimation, poisson data, chi^2
• MNRAS, 225, 155-170 (1987), Fasano, Franceschini, multidim’l, Kolmogorov-Smirnov
• A&A, 188, 258-264 (1987) Gosset, 3D Kolmogorov Smirnov

Calibration uncertainty related

• MNRAS, 335, 1193-1200 (2002) Bridle, Crittened, et al. Analytic marginalization over CMB calibration and beam uncertainty
• ApJ, 693, 822-829 (2009) Humphrey, Liu, Buote, chi^2 and possionian data: …
• ApJ, 690, 128-143 (2009) Grimm, McDowell, et al. Chandra ACIS
• ApJ, 471, 673-682 (1996) Churazov, Gilfanov, et al. (low counts)
• ApJ, 562, 575-582 (2001) Davis, pileup, CCD
• ApJ, 539, 172-186 (2000) Buote, averaging arfs, chi^2,
• A&A, 162, 340-348 (1986) Simpson, Mayer-Hasselwander, Bootstrap sampling: applications in gamma-ray astronomy (simple linear regression, parametric bootstrap)
• PASJ (Publ. Astron. Soc. Japan), 59, S113-132 (2007), Ishisaki et al (mentions ARF uncertainty, sec. 4)
• ApSS, 231, 157-160 (1995) Halon, Bennet, et al. Spectral characaterisation of GRBs (used XSPEC)
• [0805.2207] (ApJ) Vikhlinin, et al. (uncertainty, bias, stacking, section 8, calibration uncertainties, astronomical uncertainties, modeling uncertainties, be aware that lexicon implications are quite different from those of statistics)
• ApJ, 168, 151, 393- (1968), Schmidt, space dist’n and LFs of quisi-stellar radio sources
• More directly related references to Chandra calibration uncertainty will be available via a paper that my group is preparing.

Isochrone related (inference on parameters of stellar evolution models)

1. A&A, astro-ph/0504483 (2006) Cervino, Luridiana, Cervino-Luridiana, Confidence limits of evolutionary synthesis models.
2. 0510411/astro-ph/Cervino, Luridiana, revisiting and assessing uncertainties in stellar populations synthesis models (rectify or render modeling processes)
3. MNRAS, 351,487-504 (2004) F. Pont, L. Eyer, Isochrone ages for field dwarfs: method and application to the age-metallicity relation.
4. MRNAS, 316, 605-612 (2000) Hernandez, Valls-Gabaud, Gilmore, The recent star formation history of the Hipparcos solar neightbourhood
5. A&A, 366, 538-546 (2001) T. Lejeune, D. Schaerer, Database of Geneva Stellar evolution tracks and isochrones for …
6. MNRAS, 304, 705-719 (1999) Hernandez, Valls-Gabaud, Gilmore, Deriving star formation histories: inverting Hertzsprung-Russell diagrams through a variational calculus maximum likelihood method
7. MNRAS, 375, 1220-1240 (2007), Mayen, Naylor, et al, Empirical isochrones and relative ages for young stars, and the radiative-convective gap. (DATA)
8. MNRAS, 373, 1251-1263 (2006) Naylor, Jeffries, a maximum likelihood method for fitting CM diagrams
9. 0702422/astro-ph/Cervino, Luridiana,
10. ApJ, 645,1436-1447 (2006) von Hippel, et al.
11. ApJ, 345, 245-256 (1989), Cardelli, Clayton, Mathia,
12. 0708.1964, McWilliam, Globuar cluster abundance … 47 Tuc
13. A&A, 331, 81-120 (1998), Perryman, Brown, et al (Hyades: dist. struc. dynamics, and age)
14. AJ, 103, 460- (1992), Hodder, Nemec, Richer, Fahlman (M71)
15. MNRAS, 347, 101-118 (2004) Sandquist, CMD of M67
16. A&ASS, 141, 371-383 (2000) Girardi, Bressan, Bertelli, Chiosi, Evolution tracks and isochrones
17. A&A, 414, 163-174(2004) Salaris, Weiss, Percival, age of the oldest open cluster (can cross compare)
18. MNRAS, 332, 91-108 (2002) Dolphin, numerical methods of star formation history measurement and applications to seven dwarf spheroidals
19. Ap&SS (arxiv:0710.4003), Demarque, Guenther, Li, et al (YREC: the Yale Rotating Stellar Evolution Code)
20. AJ, 137, 3668-3684 (2009) Cignono, Sabbi, Nota, et al. (Star Formation History in the SMC, NGC602)
21. ApJ (arxiv:0706.1202) Gieles, Lamers, Zwart (age distribution of star clusters in the SMC)
22. AJ, 135:1361-1383 (2008) de Jong, Rix, Martin, et al (Numerical CMD analysis of SDSS data and applications)
23. [astro-ph:0812.1323] Muench, Getman, et al. (Star Formation in the Orion Nebula I; Stellar Content)
24. [astro-ph:0606170] Blanton, Roweis (K-corrections and filter transformations in the UV, optical, and NIR) (check out NMF in the appendix)
25. ApJ (? arxiv: 0806.2945) Martin, de Jong, Rix (ML analysis & MW satellites)
26. and more…

spatial stat/GRB

• A&A, 354, 1-6 (2000) Meszaros, Bagoly, Vavrek
• MNRAS, 241, 109-117 (1989), Scott, Tout, Nearest neightbor
• A&A, 162, 340-348 (1986) Simpson, Mayer-Hasselwander, Bootstrap sampling, app. in GR
• MNRAS, 210, 19-23,( 1984) Barrow, Bhavsar, Sonoda, Bootstrap, galaxy cluster
• A&A, 362, 851-864 (2000) La Barbera, Busarello, Capaccioli (measurement errors, intrinsic scatter, fundamental plane)
• Bull. Astro. Soc. India (2002) 30,445-448, Shanthi, Bhat, Reclassification of GRBs ..
• MNRAS, 301,419-434 (1998) Pichon, Thiebaut, Nonparametric reconstruction of dist’n fns from observed galactic discs.
• A&A, 403, 443-448 (2003) Meszaros, Stocek, anisotropy kn the angular distribution of long GRBs?
• ApJ, 538, 165-180 (2000), Hakkila, Haglin, et al. GRB class properties
• MNRAS, 343, 255-258 (2003), Magliocchetti, Ghirlanda, Celotti, evidence for anisotropy
• ApJ, 513, 543-548 (1999) Kerscher, et al. (Martinez), J function.
• A&A, 366, 376-386 (2001) Valdarnini
• MNRAS, 328, 283-290 (2001), Balastegui, Ruiz-Lapuente, Canal, reclassification of grbs
• ApJ, 566, 202-209 (2002) Rajaniemi, Mahonen, SOM, classifying GRBs

giving up sorting

• A&SS, 271, 213-226 (2000), Takeuchi, Application of the information criterion to the estimation of galaxy luminosity fuction
• ApJ, 438, 322-340 (1995) Wheaton, Dunklee, et al (multiparameter linear LS fitting to poisson data) Vague to me, could have more statistical rigor.
• ApJ, 483, 3540-349 (1997) Kolaczyk, Nonparametric estimation of GRB intesities using Haar Wavelets. (It talked IMSE)
• MNRAS, 377, 120-132 (2007) Shekdy, Decin, et al (Estimating stellar parameters from spectra using a hierarchical Bayesian approach)
• ApJSS, 113, 89-104 (1997) Newberg, Yanny (3D parameterization of the stellar locus with application to QSO color selection) *STELLAR LOCUS/LOCI*
• A&A, 478, 971-980 (2008) Huertas-Company, Rouan, et al (Robust morphological classification, SVM)
• *ApJ, 600, 681-694 (2004) Baldry, Glazebrook, et al (Quantifying the Binodal CM distribution of Galaxies)
• A&A, 501, 813-820 (2009) Knop, Hauschildt, Baron
• ApJSS, 181,1-52 (2009) Swesty, Myra
• ApJ, 303, 336-346 (1986) Gehrels, Confidence limits (can be tried with more robust approaches)
• ApJ, 595, 59-70 (2003) Budavari, Connolly, Szalay et al (Angular Clustering with Photometric Redshifts in the SDSS: Bimodality in the clustering Properties of Galaxies)
• AJ, 131, 790-805 (2006) Lu, Zhuou, Wang et al (*EL-ICA*)
• MNRAS, 372, 615-629 (2006) Stivoli, et al (ICA, fastICA)
• MNRAS, 376, 739-759
• ApJ, 162, 405-410 (1970) Crawford, Jauncey, Murdoch MLE of Powerlaw alpha
• ApJ, 681, 679-691 (2005) Helsdon, Ponman, Mulchaey
• ApJ, 161, 271-303 (2005) Grimm, McDowell, Zezas, Kim, Fabbiano (XLF)
• ApJ, 481, 644-659 (1997) Nichol, Holden, Romer, Ulmer, Burke, Collins (XLF)
• ApJ, 269, 35-41 (1983) Marshall, Avni, Tananbaum, Zamorani (Likelihood, Linden-Bell, )
• ApJ, 662, 224-235 (2007) Kocevski, Ebeling, Mullis, Tully
• ApJ, 671, 1471-1496 (2007) Barkhouse, Yee, Lopez-Cruz (Schechter function, LF)
• NMRAS, 301, 881-914 (1998) Ebeling, Edge, et al (log N- log S dist)
• MNRAS, 281, 799-824 (1996) Ebeling, Voges, et al. (ROSAT..)
• MNRAS, 389, 1190-1208 (2008) Bottino, Banday, Maino (FASTICA, WMAP)
• MNRAS, 376, 739-758 (2007) Aumont, Macias-Perez (PolEMICA, SMICA, ICA, CMB, blind source separation)
• MNRAS, 374, 1207-1215 (2007) Maino, Donzelli, Banday et al (CMB, FastICA)
• MNRAS, 354, 55-70 (2004) Baccigalupi et al (CMB)
• MNRAS, 344, 544-552 (2003) Maino, Banday, et al (COBE, fastICA)
• MNRAS, 334, 53-68 (2002) Maino, Farusi, et al (fastICA)
• MNRAS, 318, 769-780 (2000) Baccigalupi, Bedini, et al (Neural Net, CMB)
• A&A, 422, 113-1121 (2004) Zhang, Zhao (SVM, supervised learning)
• MNRAS, 356, 872-882 (2005) Ascasibar, Binney (*Density Estiimation*, has Tessellation, binary tree)
• MNRAS, 373, 1293-1307 (2006) Sharma, Steinmetz (multi dim density estimation)
• MNRAS, 368, 497-510 (2006) Diehl, Statler (adaptive binning, Voronoi tessellations)
• MNRAS, 372, 1104-1116 (2006) Percival, Brown (Likelihood techniques, CMB)
• ApJSS, 176, 276-292 (2008) van Belle et al (Palomar)
• A&A, 368,776-786 (2001) Ramella, Boschin, et al (galaxy clusters, Voronoi Tessellations)
• MNRAS, 331, 569-577 (2002) Sochting, Clowes, Campusano (galaxy cluster, MST)
• MNRAS, 347, 1241-1254 (2004) Sochting, Clowes, Campusano (MLE, Voronoi Tessellations)
• ApJ, 477, 79-92 (1997) Scharf, Jones, Ebeling, et al (ROAST, Voronoi Tessellations, VTP, source detection, thresholding needs more statistical rigor
• clustering in massive data sets, fionn murtagh, chemical data analysis in the large

  http://www.beilstein-institut.de/bozen20000/proceedings/murtagh/murtagh.pdf

• Advanced data mining tools for exploring large astronomical data, by Longo, et al. SPIE Vol 4477 (2001)
• Massive Datasets in Astronomy by Brunner, Djorgovski, Prince, Szalay, astro-ph/010648
• Mining Massive Data Streams by Hulten, Domingos, Spencer, J. Mach Learning Research 1 (2005)
• Adaptive Piecewise-constant Modeling of Signals in Multidimensional Spaces, Scargle, Jackson, Norris, Phystat2003
• Error analysis of the photometric redshift technique, MNRAS, 330, 889-894 (2002)
• Introduction to Statistical Issues in Paraticle PHysics, R. Barlow, Phystat2003
• Detectin of non-random patterns in cosmological gravitational clustering
• Valdarnini A\&A 366 376-386
• Population analysis of faint galaxies with mixture modeling, Titus, Spillar, Johnson, AJ, Vol. 114(3). 1997
• Automated Classification of Rosat sources using heteorgeneous multiwavelength
  source catalog by McGlynn et al ApJ 616:1284-1300, 2004
• AJ, 122, 3492-3505 (2001) Miller, Genovese, Nichol, Wasserman, et al. (FDR in astrophysical data analysis)
• MNRAS, 374, 867-876 (2007) Priddey et al. (survival analysis and bayesian)
• A&A, 310, 508-518 (1996) Carbillet, Ricort, Aime, Perrier
• ApJ, 659, 29-51 (2007) Kim, Wilkes, Kim et al (chandra)
• ApJSS, 169, 401-429 (2007) Kim, Kim, Wilkes, et al (chandra)
• MNRAS, 369, 677-696 (2006) Protopapas et al. Finding outlier light curves in catalogues of periodic variables stars.
• MNRAS, 360, 447-491 (2005) Diego, Protopapas, Sandvik, Tegmark, nonparametric inversion of strong lensing system
• MNRAS, 375, 958-970 (2007) Diego, Tegmark, Protopapas, Sandvik,
• MNRAS, 362, 1247-1258 (2005) Diego, Sandvik, Protopapas, Tegmark, Benitez, Broadhurst
• ApJ, 134, 1963-1993
• MNRAS, 362, 460-468, Protopapas, Jimenez, Alcock, Fast idenitification of transits from light-curves
• MNRAS,378, 716-722 (2007) Lane, Gray, et al.

COSMOS

• ApJSS, 172, 353-367 (2007) Brusa, et al (Likelihood ratio technique, Fisher will not be happy)
• ApJSS, 172,406-433 (2007) Scarlata et al.
• ApJSS, 172,494-510 (2007) Scarlata et al.
• ApJSS, 172,320-328 (2007) Kartaltepe et al.
• ApJSS, 172, 284-295 (2007) Capak et al.
• ApJSS, 172, 182-195 (2007) Finoguenov et al
• ApJSS, 182, 341-352 (2007) Cappelluti et al.
• MNRAS,259, 413-420 (1992) Sutherland, Sauders, LRT for source identification
• A&A, 398, 901-918 (2003) Ciliegi, et al.
• AJ, 123, 1807-1825 (2002) Goto et al. (SDSS, cluster detection)
• AJ, 135, 1810-1824 (2008) Fridmann (robustness, influence function)
• ApJ, 579, 48-75 (2002) Scranton, Johnston, et al (Analysis of systematic effects and stat uncertainties in … SDSS)
• A&A, 330, 447-452 (1998) Molinari, Smareglia (Neural Net, galaxy classification, LF of E/SO)
• ApJ, 556, 937-943 (2001) Gortiglioni, Mahonen, Hakala, Frantti (SOM, star-galaxy discrimination)
• A&A, 482, 483-498 (2008) Torniainen, Tornikoski, Turunen, et al (SOM)
• ApJ, 566, 202-209 (2002) Rajaniemi, Mahonen (GRB, SOM)
• ApJSS, 111,357-367 (1997) Naim, Ratnatunga, Griffiths (Galaxy morphology, SOM)
• MNRAS, 334, 53-68 (2002) Maino, Farusi, et al (FastICA, CMB, Plank)
• MNRAS, 340, 1269-1278 (2003) Ebeling, improved approx. of Poissonian errors for high CLs.
• ApJ, 461, 396-407 (1996) Mattox et al (Likelihood, Egret)
• ApJ, 504, 405-418 (1998) Scargle (Bayesian Blocks)
• AJ, 124, 147-157 (2002) Whitmore, Schweizer, Kundu, Miller (LF, GC NGC 3610) K-S test
• MNRAS,155, 95-118 (1971) *Lynden-Bell*
• ApJ, 116, 144- (1952) *Neyman, Scott*
• ApJ, 117, 92- (1953) *Neyman, Scott*
• ApJ, 183, 1-13 (1973) Murdoch, Crawford
• AJ, 115, 1206-1211 (1998) Saha
• ApJ, 645, 1436-1447 (2006) von Hippel, Jefferys, Scott, et al (CMD, Bayesian)
• A&A, 415, 571-576 (2004) Bonatto, Bica, Girardi (isochrones, WEBDA, source of some clusters for isochrone fitting, inference problem)
• MNRAS, 317, 831-842 (2000) *Hernandez*, Gilmore, Valls-Gabaud, Nonparametric star formation histories for four dwarf spheroidal galaxies of the local group
• A&A, 436, 127-143 (2005) Jorgensen, Lindegren, Determination of Stellar ages from isochrones: &Beysian est. vs. isochrone fitting
• A&A, 386, 187-203 (2002) Meibom, Andersen, Nordstrom, Stellar evolution, open clusters
• ApJ, 462, 672-683 (1996) Tolstoy, Saha, CMD, Bayesian Inference
• A&A, 472, 293-298 (2007) Ramos, Extreme value theory, solar cycle
• ApJ, 427, 438-445 (1994) Zepka, Cordes, Wasserman
• ApJ, 470,706-714 (1996) Akritas, Bershady, Linear regression, measurement errors
• ApJ, 646, 1445-1451 (2006) Ramos, MDL and model selection
• ApJ, 438, 269-287 (1995) Baliunas, Donahue, et al Chromospheric variations in MS stars II
• ApJ, 270, 119-122 (1983) Morrison, McCammon
• ApJ, 199, 299-306 (1975) Kellogg, Baldwin, Koch
• ApJ, 508, 314-327 (1998) Mukherjee, Feigelson, Babu, Murtagh, Fraley, Raftery (Three types of GRBs)
• A&ASS,116, 395-402 (1996) Faundez-Aban, et al, Classiciation of Planetary Nebule, Neural Network, Supervised learning
• AJ, 79, 745- (1974) Lucy, EM algorithm in astronomy
• ApJ, 610,1213-1227 (2004) Esch, Connors, et. al.
• ApJ, 495, 100-114 (1998) Jones, Scharf, Ebeling, etal (logN-logS)
• MNRAS, 281, 799-829 (1996) Ebeling, Voges, et al. (Voronoi Tessellation)
• MNRAS, 370, 141-150 (2006) Recio-Blanco, Bijaoui, de Laverny (MATISSE algorithm)
• ApJ, 661, 135-148 (2007), Zezas, et al *XLF*
• MNRAS, 338, 891-902 (2003) Smith, Lutz-Kelker bias
• ApJSS, 129, 1-31 (2000) Takeuchi,Yoshikawa, Ishii (stat. methods of estimating LF)
• ApJ, 560, 606-616 (2001) *Loh, Quashnock, Stein*
• MNRAS, 324, 51-56 (2001) Rauzy, assessing the completeness
• A&ASS,127, 335-352 (1998) Fadda, Slezak, Bijaoui, Density estimation with non-parametric methods
• ApJ, 412, 64-71 (1993) Landy, Szalay, bias and variance of angular correlation functions
• A&A, 423-443 (2004) Demianski, Doroshkevich, stat. characterics of large scale structure (it didn’t look statistical to me)
• MNRAS, 296, 253-272 (1998) Colombi, Szapudi, Szalay, effects of sampling on statistics of large-scale structure
• AJ, 104, 1472- (1992) Secker, Stat. Investigation into the shape of the GCLF
• MNRAS, 351, L49-L53 (2004), *Liddle* How many cosmological parameters?
• A&A, 431, 511-516 (2005) Pfenniger, Revaz, Tully-Fisher
• ApJ, 524, L79-L82 (1999) Bromley, Tegmark, Is the CMB really non-gaussian?
• MNRAS, 321, 44-56 (2001) Koen, Hipparcos, time series
• MNRAS, 340, 1190-1198 (2003) Bissantz, Munk, Scholz, Parametric versus nonparametric modelling? stat. evidence based on p-value curves
• MNRAS, 336, 131-138 (2002) Bissantz, Munk, graphical selection method post model selection problem to me
• AJ, 70(3), 193-, (1965) Sun’s Motion and Sunspots
• ApJ, 480, 22-35 (1997) Tegmark, Taylor, Heavens, CMB, SVD, large data set
• Physical Review D, 55(10), 5895- (1997) Tegmark, how to measure CMB power spectra w/o losin g information
• ApJ, 480, L87-L90 (1997) Tegmark, … w/o losing information
• ApJ, 499, 555-576 (1998) Tegmark, Hailton, Strauss, Vogeley, Szalay, Galaxy power spectrum
• Physical Review D, 69, 103501-1 (2004), Tegmark et al.
• J. Math. Phys. 41(6), 3801- (2000), Schroer, Quantum field theory
• ApJ, 518, L69-72 (1999), Tegmark, Bromley, Obsearvational Evidence for Stochastic Biasing
• ApJ, 519, 513-517 (1999), Tegmark, Comparing and combining CMB data sets
• MNRAS, 312, 285-294 (2000), Hamilton, Tegmark, Decorrelating the power spectrum of galaxies
• ApJ, 544, 30-42 (2000) Tegmark, Zaldarriaga, 10 parameter CMB
• ApJ, 499, 526-532 (1998) Tegmark, Rees, CMB fluctuation?
• MNRAS, 341, 1199-1204 (2003) Yamamoto, SDSS, QSO, spatial power spectrum
• A&A, 431, 511-516 (2005) Pfenniger, Revaz, Tully-Fisher
• AJ, 133, 734-754 (2007) Blanton, Roweis, K-corrections and Filter transformations (NMF)
• ApJ, 483, 350-369 (1997) Damiani, Maggio, et al, wavelet, detection
• ApJ, 483, 370-389 (199), Damiani, et al, wavelet, detection, application
• ApJSS, 138, 185-218 (2002) Freeman, et al, wavdetect
• A&A, 246, 291-300 (1991) Zaninetti, Dynamical Voronoi Tessellation
• AJ, 115, 2598-2615 (1998) Barnbaum, Bradley (radio, filter)
• AJ, 130, 2424-2433 (2005) Mitchell, Robertson, Sault Alternative Adaptive Filter structures (radio astronomy)
• AJ, 130, 2916-2927 (2006) Poulsen, Jeffs, Warnick (cancellation, filter, LMS)
• ApJ, 688, L49-52 (2008) Kitiashvili, Kosovichev (data assimilation, solar cycles)
• MNRAS, 334, 533-541 (2002) Herranz, et al. (adaptive filter)
• AJ, 120, 2163-2173 (2000) Stoica, Larsson, Li (adaptive filter bank)
• ApJ, 399, 345-351 (1992) *Efron, Petrosian, *
• A&ASS, 127, 335-352 (1998) Fadda, Slezak, Bijaoui (density estimation, nonparametric, penalized likelihood)
• MNRAS, 359, 993-1006 (2005) Lopez-Caniego, et al. (Neyman-Pearson detector, filter design)
• A&A … salaris, Cassisi, CC diagram, GC, systematic uncertainties using the (V-K)-(V-I)
• ApJSS, 172:219-238 (2007) Leauthaud, Massey, et al. Weak grav. lensing with COSMOS
• ApJSS, 172:254-269 (2007) Guzzo, Casata, et al. COSMOS, large scale structure, morphology
• ApJSS, 172:150-171 (2007) Scoville, et al. COSMOS, galaxy evolution
• A&A, 343, 496-506 (1999) Plets, Vynckier, MS, post MS, minium volume ellipsoid
• MRNAS, 318, 92-100 (2000) Lucy, L.B. hypothesis testing, chi^2
• MNRAS, 380, 551-570 (2007) Platen, van de Weygaert, Jones, WVF void detection
• ApJ, 293, 192-206 (1985) Feigelson, Nelson, stat. method. with upper limits
• AJ, 123, 2945-2975 (2002) Richards, Fan, Newberg et al, SDSS, quasar,
• ApJSS, 155, 257-269 (2004) Richards, Nichol, Gray et al, SDSS, quasar,
• ApJ, 545, 6-25 (2000) Beisbart, kerscher, luminosity, morpholgy-dep. clustering, galaxy (marked point process, random field, see Stoyan, Kendall, and Mecke)
• AJ, 122, 1238-1250 (2001) Shimasaku, et al. SDSS, statistical properties, photometric system
• AJ, 122, 1861-1874 (2001) Strateva, et al. SDSS, color separation
• ApJSS, 155:243-256 (2004), Weinstein, Richards, Scheider, et al. SDSS, photometric redshifts
• Geophy. Res. Let., 33, L07201 (2006) Colwell, Esposito, Sremcevic (self-gravity wakes in Saturn’s A ring measured by stellar occultations from Cassini)
• AJ, 133, 2624-2629 (2007) Hedman et al (about wake structure in Saturn’s A ring) I was fascinated when I first heard about two shephard moon effect that forms Saturn’s ring and later possible meteorites and moons
• ApJ, 622:759-771(2005), Gorski, Hivon, Banday, et al (HEALPIX)

Copula application (I wanted put this under [MADS])

• MNRAS, 393, 1370-1976 (2009) Koen (CIs for the correlation between the GRB peak energy and the associated SN peak brightness, Gaussian copula)

Non astronomy not in statistics:

• Clustering Properties of Hierarchical Self-Organizing Maps, Lampinen and Oja
  J. Math. Imaging and VIsion, vol. 3, pp. 261-272, 1992
• Quite many machine learning publications … too long to type them out!