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Stochastic process
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391	Submitted to the Statistical Science Score, pseudo-score and residual diagnostics for goodness-of-fit of spatial point process models Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2010-07-22 02:53:36 Statistical tests Econometrics Normal distribution Poisson process Score test Confidence interval Point process Likelihood function Exponential family Statistics Estimation theory Stochastic processes
392	Bayesian Inference for Non-Markovian Point Processes Peter Guttorp∗ and Thordis L. Thorarinsdottir† November 19, Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-11-19 13:41:42 Bayesian statistics Estimation theory Conjugate prior Cox process Point process Marginal likelihood Normal distribution Gaussian process Bayes estimator Statistics Stochastic processes Poisson processes
393	Embedded Probabilistic Programming Chung-chieh Shan Rutgers University Add to Reading List Source URL: okmij.org Language: English - Date: 2008-12-04 22:50:38 Importance sampling Variance reduction OCaml Inference Probability Continuation Stochastic process Stochastic Statistics Statistical models Reasoning
394	Discussion contribution to the paper ’Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes’ by Beskos, Papaspiliopoulos, Roberts and Fearnhead Jesper Møller∗ Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2005-10-21 07:31:49 Poisson processes Cox process Diffusion Molecular diffusion Aalborg University Point process Statistics Transport phenomena Stochastic processes
395	INTERVIEWS ISBA Bulletin, 18(1), March 2011 INTERVIEWS Add to Reading List Source URL: probability.ca Language: English - Date: 2011-10-06 08:38:00 Computational statistics Markov chain Monte Carlo Markov chain Statistical models Stochastic process Statistics Markov models Monte Carlo methods
396	PROPERTIES OF RESIDUALS FOR SPATIAL POINT PROCESSES A. BADDELEY,∗ University of Western Australia J. MØLLER,∗∗ University of Aalborg A.G. PAKES,∗ University of Western Australia Abstract d Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2006-01-11 03:35:32 Point process Operator theory Ordinary differential equations Spectral theory Statistics Stochastic processes Poisson process
397	Department of Mathematics Prof. Dr. Wolfgang Weil Kaiserstr, GebKarlsruhe 24. M¨arz 2015 Add to Reading List Source URL: www.math.kit.edu Language: English - Date: 2015-03-30 11:59:26 Convex geometry Point process Central limit theorem Boolean model Statistics Stochastic processes Probability theory
398	December 8, :18 Connection Science Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-10-20 09:59:08 Stochastic control Control theory Partially observable Markov decision process User interfaces Dialog system Markov decision process Reinforcement learning Statistics Dynamic programming Markov processes
399	Thinning spatial point processes into Poisson processes Jesper Møller1 and Frederic Paik Schoenberg2 1 Department of Mathematical Sciences, Aalborg University, Fredrik Bajers Vej 7G, DK- Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2008-12-24 03:52:28 Poisson processes Point process Cox process Siméon Denis Poisson Sinc function Continuous-time Markov process Statistics Stochastic processes Markov processes
400	European Journal of Neuroscience European Journal of Neuroscience, Vol. 35, pp. 1152–1168, 2012 doi:j08026.x Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-04-25 03:19:55 Dynamic programming Markov decision process Stochastic control Reinforcement learning Operant conditioning Reinforcement Temporal difference learning Statistics Behaviorism Behavior

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