rpadams's library 268 articles Export

	Poisson Processes (Oxford Studies in Probability) [My Copy] (11 January 1993) by J. F. C. Kingman posted to poisson-process by rpadams on 2009-05-22 19:29:24 as along with 3 people toerst brian bayes
	Markov Chain Sampling Methods for Dirichlet Process Mixture Models [My Copy] Journal of Computational and Graphical Statistics, Vol. 9, No. 2. (2000), pp. 249-265. by Radford M. Neal posted to dirichlet-process dirichlet-process-mixture mcmc by rpadams on 2009-04-22 17:26:02 as along with 8 people churchofbayes holopoj bertelsen daniel51 ldietz mshafiei vlachmore bhaddow
	A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells [My Copy] 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 6 people merdem flips napvasconcelos xlli apeyrache dcoates
	Monotonic Regression Based on Bayesian PSplines: An Application to Estimating Price Response Functions From Store-Level Scanner Data [My Copy] Journal of Business & Economic Statistics, Vol. 26, No. 1. (January 2008), pp. 90-104. by Brezger, Andreas, Steiner, J. Winfried posted to no-tag by rpadams on 2008-05-26 17:45:31 as
	Stick-breaking Construction for the Indian Buffet Process [My Copy] In Proceedings of the 11th Conference on Artificial Intelligence and Statistic (2007) by Yee W. Teh, Dilan Gorur, Zoubin Ghahramani posted to aistats ibp stick-breaking by rpadams on 2008-05-05 14:27:45 as along with 1 person jsr
	The Matrix Stick-Breaking Process: Flexible Bayes Meta-Analysis [My Copy] pp. 317-327. by David B. Dunson posted to dirichlet by rpadams on 2008-05-05 14:26:57 as along with 2 people mshafiei abrentnall
	Density Estimation for Statistics and Data Analysis [My Copy] (01 April 1986) by B. W. Silverman posted to density-estimation by rpadams on 2008-01-13 17:43:25 as along with 10 people and 1 group Klapouchy asterix77 filippone jrnold yaroslavvb alexr balajis dgront shimazaki xiaobeizhao Autoregulation
	Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley Series in Probability and Statistics) [My Copy] (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 mooniii abellogin fjanoos
	Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations (Oxford Statistical Science Series) [My Copy] (13 November 1997) by Adrian W. Bowman, Adelchi Azzalini posted to density-estimation by rpadams on 2008-01-13 17:41:46 as along with 1 person amsantos
	Smoothing Methods in Statistics (Springer Series in Statistics) [My Copy] (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) [My Copy] (01 December 1994) by M. P. Wand, M. C. Jones posted to density-estimation by rpadams on 2008-01-13 17:40:38 as
	A Taxonomy of Global Optimization Methods Based on Response Surfaces [My Copy] Journal of Global Optimization, Vol. 21, No. 4. (1 December 2001), pp. 345-383. by Donald R. Jones posted to gp-optimization optimization by rpadams on 2007-12-14 04:39:01 as along with 8 people and 2 groups quaranta Gorzomagnificent vbaudoui kutabar ddahlem pverstra middledomain lboussou macc Optimisation Robuste - Robust Optimization
	The Logistic Normal Distribution for Bayesian, Nonparametric, Predictive Densities [My Copy] 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 along with 2 people casutton mshafiei
	Posterior consistency of logistic Gaussian process priors in density estimation [My Copy] 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 [My Copy] Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on In Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on (2007), pp. 3467-3470. by M. C. O. Bogino, P. Cataldi, M. Grangetto, E. Magli, G. Olmo posted to fountain-codes by rpadams on 2007-11-21 22:46:12 as along with 1 person and 1 group alexzeh IKR Fountain for Wireless
	Novel approximations for inference in nonlinear dynamical systems using expectation propagation [My Copy] Neurocomputing In Neural Networks in Signal Processing, Vol. 69, No. 1-3. (December 2005), pp. 85-99. by Alexander Ypma, Tom Heskes posted to dynamic-systems expectation-propagation unscented-kalman-filter by rpadams on 2007-11-19 16:25:06 as along with 2 people jgebbie kohei-h
	Iterated extended Kalman smoothing with expectation-propagation [My Copy] In Neural Networks for Signal Processing (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 along with 1 person opo
	Marginal Likelihood from the Gibbs Output [My Copy] 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 2 people ppeeling icosma
	An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures [My Copy] Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (2003), pp. 487-493 vol.1. by J. Goldberger, S. Gordon, H. Greenspan posted to entropy-estimation gaussian-mixture kl-divergence mixture-modelling by rpadams on 2007-11-14 19:51:42 as along with 1 person ciga
	A new method for the nonlinear transformation of means and covariances in filters and estimators [My Copy] Automatic Control, IEEE Transactions on In Automatic Control, IEEE Transactions on, Vol. 45, No. 3. (06 August 2002), pp. 477-482. by S. Julier, J. Uhlmann, H. F. Durrant-Whyte posted to kalman-filter unscented-kalman-filter by rpadams on 2007-11-09 14:58:43 as along with 2 people pleizier memming
	Bayesian Mixture Modeling for Spatial Poisson Process Intensities, with Applications to Extreme Value Analysis [My Copy] (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 [My Copy] (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 [My Copy] 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 [My Copy] 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 [My Copy] 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
	Kalman Filtering and Neural Networks [My Copy] (08 October 2001) by Simon Haykin posted to kalman-filtering neural-networks by rpadams on 2007-10-25 15:44:43 as along with 2 people Viperus paulclinger
	Applications of a Method for the Efficient Computation of Posterior Distributions [My Copy] by J. C. Naylor, A. F. M. 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 [My Copy] Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on In 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 [My Copy] (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 [My Copy] (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 [My Copy] (24 Oct 2007) by Robert B. Gramacy, Herbert K. H. Lee posted to gaussian-process by rpadams on 2007-10-25 14:39:54 as along with 1 person dah
	Limit Theorems in Change-Point Analysis (Wiley Series in Probability & Statistics) [My Copy] (05 January 1998) by Miklós Csörgö, Lajos Horváth posted to changepoint-detection by rpadams on 2007-10-24 15:34:07 as along with 1 person abrentnall
	Optimal rate of convergence for nonparametric change-point estimators for nonstationary sequences [My Copy] (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
	Numerical Recipes in C: The Art of Scientific Computing [My Copy] (30 October 1992) by William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling posted to gaussian-quadrature numerical-analysis by rpadams on 2007-10-23 14:54:52 as along with 20 people and 1 group howardjp kumar_physics gagnon_d gi0rgi0ne nilsma toerst tovrstra 6rheology kenenglish arne ihaque slh dpollard danielaugot cherrie amcmorl phla8271 cvq ssomani sheephat EisenLab
	Bayes-Hermite Quadrature [My Copy] 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
	Methods of Numerical Integration: Second Edition [My Copy] (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 [My Copy] In Proceedings of Artificial Intelligence and Statistics 2005 (2005) by Onno Zoeter, Tom Heskes edited by Zoubin 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 [My Copy] Transactions of the American Mathematical Society, Vol. 347, No. 4. (1995), pp. 1429-1437. by A. K. Gupta, T. Varga posted to matrix-variates by rpadams on 2007-10-15 17:20:46 as
	A Note on Matrix Variate Normal Distribution [My Copy] pp. 148-153. by T. T. Nguyen posted to matrix-variates by rpadams on 2007-10-15 17:12:43 as
	Bayesian Classification with Gaussian Processes [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12. (1998), pp. 1342-1351. by C. K. I. 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 [My Copy] In Advances in Neural Information Processing Systems 19 (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 [My Copy] In Advances in Neural Information Processing Systems 15 (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 [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 449-456. by Andreas Krause, Carlos Guestrin posted to gaussian-process gp-optimization by rpadams on 2007-10-08 14:49:08 as along with 2 people and 1 group xiaoyan2006 vlachmore Modèles Graphiques UBIAT
	Bayesian Gaussian Process Classification with the EM-EP Algorithm [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 12. (2006), pp. 1948-1959. by Hyun-Chul Kim, Z. Ghahramani posted to expectation-maximization gaussian-process gp-classification spmogp by rpadams on 2007-10-08 14:47:22 as
	Hierarchical Gaussian process mixtures for regression [My Copy] Statistics and Computing, Vol. 15, No. 1. (January 2005), pp. 31-41. by J. Q. Shi, R. Murray-Smith, D. M. Titterington posted to gaussian-process mixture-modelling regression spmogp by rpadams on 2007-10-07 19:07:06 as
	Infinite Mixtures of Gaussian Process Experts [My Copy] In Advances in Neural Information Processing Systems 14 (2002) by C. E. Rasmussen, Z. Ghahramani posted to gaussian-process mixture-modelling mixture-of-experts nips regression spmogp by rpadams on 2007-10-07 19:03:15 as
	Mixtures of Gaussian Processes [My Copy] In Advances in Neural Information Processing Systems 13 (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 [My Copy] In Advances in Neural Information Processing Systems 18 (2006), pp. 883-890. by Edward Meeds, Simon Osindero edited by Y. Weiss, B. Schölkopf, J. Platt posted to gaussian-process mixture-modelling mixture-of-experts nips regression spmogp by rpadams on 2007-10-07 18:57:09 as
	Mixture Regression for Covariate Shift [My Copy] In Advances in Neural Information Processing Systems 19 (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 [My Copy] 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 along with 2 people weiweiguo memming

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gaussian-process	52
changepoint-detection	44
density-estimation	21
nips	12
policy-search	12
reinforcement-learning	12
gaussian-quadrature	11
matrix-valued-functions	10
gppm	9
matrix-exponential	9
mcmc	9
mixture-modelling	9
numerical-analysis	9
rkhs	9
wishart	9
nonstationary	8
optimization	8
spmogp	8
matrix-variates	7
gpps	6
machine-learning	6
positive-definite-functions	6
time-series	6
variational-bayes	6
vector-gp	6
dynamic-systems	5
nonparametric-classification	5
regression	5
time-series-data	5
variate-generation	5
entropy-estimation	4
icml	4
matrix-rkhs	4
online-learning	4
particle-filtering	4
poisson-process	4
cholesky-decomposition	3
dirichlet	3
exact-sampling	3
expectation-maximization	3
expectation-propagation	3
lie-groups	3
multi-task-learning	3
neural-networks	3
radial-basis-functions	3
representation-theory	3
summary-state	3
toeplitz-matrices	3
aistats	2
bandit-problem	2
conjugate-gradient	2
covariance-estimation	2
dirichlet-diffusion-trees	2
function-approximation	2
gamma-process	2
gp-classification	2
gp-density-estimation	2
gp-optimization	2
ica	2
kalman-filtering	2
kriging	2
mixture-of-experts	2
multivariate-beta	2
multivariate-binomial	2
multivariate-gamma	2
multivariate-interpolation	2
mutual-information	2
product-of-rv	2
tensor-variates	2
unscented-kalman-filter	2
volatility	2
belief-networks	1
boltzmann-machine	1
complexity	1
decision-theory	1
dirichlet-process	1
dirichlet-process-mixture	1
distributions-reference	1
eeg	1
evidence	1
finance	1
fountain-codes	1
gaussian-mixture	1
graphical-models	1
hidden-markov-model	1
hilbert-spaces	1
historical	1
ibp	1
incomplete-gamma	1
information-complexity	1
information-theory	1
ising-model	1
isng-model	1
kalman-filter	1
kl-divergence	1
krylov-methods	1
language-modelling	1
matrix-conditioning	1
matrix-inversion	1
maximum-entropy	1
model-selection	1
multivariate-dirichlet	1
multivariate-regression	1
nelder-mead-simplex	1
noncentral-t-distribution	1
nonlinear-systems	1
periodic-correlation	1
predictive-control	1
predictive-distributions	1
quantum-computation	1
sensorimotor-learning	1
sparse-gp	1
stick-breaking	1
structured-matrices	1
thesis	1
uai	1
uncertain-gp-inputs	1
undirected-graphical-models	1
unsupervised-learning	1

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