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rpadams' library [266 articles]

Nye artikler sendt til rpadams' bibliotek.
  • A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells
    J. Neurosci., Vol. 18, No. 18. (15 September 1998), pp. 7411-7425.
    by Emery N Brown, Loren M Frank, Dengda Tang, Michael C Quirk, Matthew A Wilson
    posted to poisson-process by rpadams on 2008-05-27 15:24:02 as ** along with 3 people dcoates xlli apeyrache
  • Monotonic Regression Based on Bayesian PSplines: An Application to Estimating Price Response Functions From Store-Level Scanner Data
    Journal of Business & Economic Statistics, Vol. 26, No. 1. (January 2008), pp. 90-104.
    posted to no-tag by rpadams on 2008-05-26 17:45:31 as **
  • Stick-breaking Construction for the Indian Buffet Process
    (2007)
    by YW Teh, D Gorur, Z Ghahramani
    posted to indian-buffet dirichlet aistats by rpadams on 2008-05-05 14:27:45 as ** along with 1 person jsr
  • The Matrix Stick-Breaking Process: Flexible Bayes Meta-Analysis
    pp. 317-327.
    by David B Dunson
    posted to dirichlet by rpadams on 2008-05-05 14:26:57 as ** along with 1 person mshafiei
  • Density Estimation for Statistics and Data Analysis
    (01 April 1986)
    by BW Silverman
  • Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley Series in Probability and Statistics)
    (28 September 1992)
    by David W Scott
    posted to density-estimation by rpadams on 2008-01-13 17:42:33 as ** along with 3 people burtonwu abellogin fjanoos
  • Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations (Oxford Statistical Science Series)
    (14 October 1997)
    by Adrian, Adelchi Azzalini
    posted to density-estimation by rpadams on 2008-01-13 17:41:46 as **
  • Smoothing Methods in Statistics (Springer Series in Statistics)
    (28 May 1998)
    by Jeffrey S Simonoff
    posted to density-estimation by rpadams on 2008-01-13 17:41:03 as **
  • Kernel Smoothing (Monographs on Statistics and Applied Probability)
    (01 December 1994)
    by MP Wand, MC Jones
    posted to density-estimation by rpadams on 2008-01-13 17:40:38 as ** along with 1 person burtonwu
  • A Taxonomy of Global Optimization Methods Based on Response Surfaces
    Journal of Global Optimization, Vol. V21, No. 4. (1 December 2001), pp. 345-383.
    by Donald R Jones
  • The Logistic Normal Distribution for Bayesian, Nonparametric, Predictive Densities
    Journal of the American Statistical Association, Vol. 83, No. 402. (1988), pp. 509-516.
    by Peter J Lenk
    posted to density-estimation gp-density-estimation by rpadams on 2007-12-12 18:20:04 as **
  • Posterior consistency of logistic Gaussian process priors in density estimation
    Journal of Statistical Planning and Inference, Vol. 137 (2007), pp. 34-42.
    by Surya T Tokdar, Jayanta K Ghosh
    posted to density-estimation gp-density-estimation by rpadams on 2007-12-12 17:51:34 as **
  • Sliding-Window Digital Fountain Codes for Streaming of Multimedia Contents
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on (2007), pp. 3467-3470.
    by MCO Bogino, P Cataldi, M Grangetto, E Magli, G Olmo
  • Novel approximations for inference in nonlinear dynamical systems using expectation propagation
    Neurocomputing, Vol. 69, No. 1-3. (December 2005), pp. 85-99.
    by Alexander Ypma, Tom Heskes
  • Iterated extended Kalman smoothing with expectation-propagation
    (2003), pp. 219-228.
    by A Ypma, T Heskes
    posted to expectation-propagation kalman-filtering by rpadams on 2007-11-19 16:16:04 as **
  • Marginal Likelihood from the Gibbs Output
    Journal of the American Statistical Association, Vol. 90, No. 432. (1995), pp. 1313-1321.
    by Siddhartha Chib
    posted to evidence by rpadams on 2007-11-16 18:28:17 as ** along with 1 person icosma
  • An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures
    Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (2003), pp. 487-493 vol.1.
  • A new method for the nonlinear transformation of means and covariances in filters and estimators
    Automatic Control, IEEE Transactions on, Vol. 45, No. 3. (2000), pp. 477-482.
    posted to kalman-filter unscented-kalman-filter by rpadams on 2007-11-09 14:58:43 as **
  • Bayesian Mixture Modeling for Spatial Poisson Process Intensities, with Applications to Extreme Value Analysis
    (2005)
    by Athanasios Kottas, Bruno Sanso
    posted to mixture-modelling poisson-process by rpadams on 2007-10-26 18:57:06 as *****
  • Bayesian sequential change diagnosis
    (25 Oct 2007)
    by Savas Dayanik, Christian Goulding, Vincent H Poor
    posted to changepoint-detection by rpadams on 2007-10-26 15:24:44 as ** along with 2 people ansobol proportional
  • A note on Gauss--Hermite quadrature
    Biometrika, Vol. 81, No. 3. (1 September 1994), pp. 624-629.
    by Qing Liu, Donald A Pierce
    posted to gaussian-quadrature by rpadams on 2007-10-25 16:44:02 as ** along with 1 person chzch
  • Methods for Approximating Integrals in Statistics with Special Emphasis on Bayesian Integration Problems
    Statistical Science, Vol. 10, No. 3. (1995), pp. 254-272.
    by Michael Evans, Tim Swartz
    posted to gaussian-quadrature by rpadams on 2007-10-25 16:40:26 as **
  • Delayed Curse of Dimension for Gaussian Integration
    Journal of Complexity, Vol. 16, No. 2. (June 2000), pp. 474-506.
    by Francisco Curbera
    posted to gaussian-quadrature by rpadams on 2007-10-25 15:48:23 as **
  • notes Kalman Filtering and Neural Networks
    (08 October 2001)
    by Simon Haykin
    posted to kalman-filtering neural-networks by rpadams on 2007-10-25 15:44:43 as **
  • Applications of a Method for the Efficient Computation of Posterior Distributions
    by JC Naylor, AFM Smith
    posted to gaussian-quadrature by rpadams on 2007-10-25 15:35:30 as **
  • Approximating nonlinear transformations of probability distributions for nonlinear independent component analysis
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on, Vol. 3 (2004), pp. 2169-2174 vol.3.
    by A Honkela
    posted to gaussian-quadrature ica by rpadams on 2007-10-25 15:03:13 as **
  • Monte Carlo Methods in Finance
    (11 April 2002)
    by Peter Jaeckel
    posted to finance gaussian-quadrature by rpadams on 2007-10-25 14:48:13 as ** along with 1 person quianominorleo
  • A Note on Multivariate Gauss-Hermite Quadrature
    (May 2005)
    by Peter Jaeckel
    posted to gaussian-quadrature by rpadams on 2007-10-25 14:47:05 as **
  • Bayesian treed Gaussian process models with an application to computer modeling
    (24 Oct 2007)
    by Robert B Gramacy, Herbert KH Lee
    posted to gaussian-process by rpadams on 2007-10-25 14:39:54 as ** along with 1 person dah
  • notes Limit Theorems in Change-Point Analysis (Wiley Series in Probability & Statistics)
    (05 January 1998)
    by Miklós Csörgö, Lajos Horváth
    posted to changepoint-detection by rpadams on 2007-10-24 15:34:07 as *
  • Optimal rate of convergence for nonparametric change-point estimators for nonstationary sequences
    (23 Oct 2007)
    by Samir B Hariz, Jonathan J Wylie, Qiang Zhang
    posted to changepoint-detection by rpadams on 2007-10-24 14:20:23 as **
  • notes Numerical Recipes in C : The Art of Scientific Computing
    (30 October 1992)
    by William H Press, Brian P Flannery, Saul A Teukolsky, William T Vetterling
  • Bayes-Hermite Quadrature
    Journal of Statistical Planning and Inference, Vol. 29 (1991), pp. 245-260.
    by A O'Hagan
    posted to gaussian-process gaussian-quadrature numerical-analysis by rpadams on 2007-10-22 14:55:56 as **
  • notes Methods of Numerical Integration: Second Edition
    (02 November 2007)
    by Philip J Davis, Philip Rabinowitz
    posted to gaussian-quadrature numerical-analysis by rpadams on 2007-10-20 16:56:56 as **
  • Gaussian Quadrature Based Expectation Propagation
    (2005)
    by Onno Zoeter, Tom Heskes
    edited by Z Ghahramani, R Cowell
    posted to expectation-propagation gaussian-quadrature gppm volatility by rpadams on 2007-10-20 15:34:00 as **
  • Matrix Variate θ-Generalized Normal Distribution
    Transactions of the American Mathematical Society, Vol. 347, No. 4. (1995), pp. 1429-1437.
    by AK Gupta, T Varga
    posted to matrix-variates by rpadams on 2007-10-15 17:20:46 as **
  • A Note on Matrix Variate Normal Distribution
    pp. 148-153.
    by TT Nguyen
    posted to matrix-variates by rpadams on 2007-10-15 17:12:43 as **
  • Bayesian Classification with Gaussian Processes
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12. (1998), pp. 1342-1351.
    by CKI Williams, David Barber
    posted to gaussian-process gp-classification by rpadams on 2007-10-12 18:57:41 as **
  • A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
    (2007)
    by Oliver Williams
    edited by B Schölkopf, J Platt, T Hoffman
    posted to gaussian-process by rpadams on 2007-10-08 15:11:38 as **
  • Incremental Gaussian Processes
    (2003)
    by Joaquin Quiñonero-Candela, Ole Winther
    posted to gaussian-process by rpadams on 2007-10-08 15:06:03 as ****
  • Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    (2007), pp. 449-456.
    by Andreas Krause, Carlos Guestrin
  • Bayesian Gaussian Process Classification with the EM-EP Algorithm
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 12. (2006), pp. 1948-1959.
    by Hyun-Chul Kim, Z Ghahramani
  • Hierarchical Gaussian process mixtures for regression
    Statistics and Computing, Vol. 15, No. 1. (January 2005), pp. 31-41.
    posted to gaussian-process mixture-modelling regression spmogp by rpadams on 2007-10-07 19:07:06 as **
  • Infinite Mixtures of Gaussian Process Experts
    (2002)
  • Mixtures of Gaussian Processes
    (2001)
    by Volker Tresp
    posted to gaussian-process mixture-modelling nips regression spmogp by rpadams on 2007-10-07 19:01:16 as **
  • An Alternative Infinite Mixture Of Gaussian Process Experts
    (2006), pp. 883-890.
    by Edward Meeds, Simon Osindero
    edited by Y Weiss, B Schölkopf, J Platt
  • Mixture Regression for Covariate Shift
    (2007), pp. 1337-1344.
    by Amos J Storkey, Masashi Sugiyama
    edited by Schölkopf
    posted to mixture-modelling nips regression spmogp by rpadams on 2007-10-07 18:53:58 as *****
  • A Unifying View of Sparse Approximate Gaussian Process Regression
    Journal of Machine Learning Research, Vol. 6 (2005), pp. 1939-1959.
    by Joaquin Quiñonero-Candela, Carl E Rasmussen
    posted to gaussian-process sparse-gp spmogp by rpadams on 2007-10-07 14:14:51 as *****
  • A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability
    Statistics and Probability Letters, Vol. 36, No. 1. (15 November 1997), pp. 69-83.
    by S Petrone, AE Raftery
    posted to changepoint-detection dirichlet by rpadams on 2007-07-03 15:50:16 as ***
  • A Survey of Properties and Applications of the Noncentral t-Distribution
    Technometrics, Vol. 10, No. 3. (1968), pp. 445-478.
    by DB Owen
    posted to noncentral-t-distribution by rpadams on 2007-05-17 21:30:32 as **
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