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Stochastic models
Results: 1168

#	Item
31	An introduction to models of evolutionary rescue Hildegard Uecker within the course Modelling in evolutionary ecology University of Vienna April 29 and May 13, 2016 Add to Reading List Source URL: www.mabs.at Language: English - Date: 2016-05-31 06:43:38 Biology Mathematical analysis Statistics Stochastic processes Evolutionary biology Sexual selection Population genetics Genetic genealogy Branching process Probability distribution GaltonWatson process Fitness
32	Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes E. Busra Celikkaya University of California, Riverside CELIKKAE @ CS . UCR . EDU Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:50:46 Graphical models Statistics Applied mathematics Mathematics Estimation theory Bayesian network Networks Gibbs sampling Belief propagation Expectationmaximization algorithm Computation tree
33	STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we deﬁne a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2002-12-09 16:28:18 Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain
34	Introduction Continuous State Space Models Case Study in Web Services Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2005-09-27 05:37:25 Probability theory Markov models Markov processes Probability Engineering Stochastic processes Process calculi PEPA Jane Hillston Markov chain Queueing theory Laboratory for Foundations of Computer Science
35	Nonparametric regression for locally stationary time series Add to Reading List Source URL: www.statistik.uni-bonn.de Language: English - Date: 2015-10-23 03:47:53 Mathematical analysis Statistics Probability Stochastic processes Probability distributions Distribution Functional analysis Mixing Normal distribution Integral transform State-space representation Errors-in-variables models
36	Theories and Methods of the Business Cycle. Part 1: Dynamic Stochastic General Equilibrium Models II. The RBC approach Jean-Olivier HAIRAULT, Professeur à Paris I Add to Reading List Source URL: eurequa.univ-paris1.fr Language: English - Date: 2009-10-13 10:46:19 Economics Macroeconomics New classical macroeconomics Fellows of the Econometric Society Business cycle Capitalism Dynamic stochastic general equilibrium HodrickPrescott filter Macroeconomic model Keynesian economics Lucas critique Real business-cycle theory
37	Decision-Driven Models with Probabilistic Soft Logic Stephen H. Bach Matthias Broecheler Stanley Kok Lise Getoor Department of Computer Science University of Maryland, College Park College Park, MD 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:09 Statistics Probability Probability theory Mathematical analysis Statistical models Statistical classification Machine learning Histopathology Prostate cancer Bayesian probability Stochastic process Probability distribution
38	Work in progress Tractable Estimation of Non-Linear DSGE Models Using Observation Equation Inversion Robert Kollmann () ECARES, Université Libre de Bruxelles & CEPR Add to Reading List Source URL: www.macfinrobods.eu Language: English* - Date: 2016-06-18 02:53:06 Economics Time series models Mathematical analysis Control theory Statistics Dynamic stochastic general equilibrium Kalman filter Logarithm Autoregressive integrated moving average Nonlinear system
39	Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong∗ , Nishant Shukla∗ , Wenlong Xiong, and Song-Chun Zhu Abstract— We propose a stochastic graph-based framework for a robot to understand Add to Reading List Source URL: shukla.io Language: English - Date: 2016-02-23 23:39:56 Academia Applied mathematics Philosophy Networks Statistical models Knowledge representation Graph theory Bayesian network Causality Artificial neural network Motion planning Graph rewriting
40	A New Comparative Approach to Macroeconomic Modeling and Policy Analysis∗ Volker Wieland, Tobias Cwik, Gernot J. Müller, Sebastian Schmidt and Maik Wolters † This Version: January 23, 2012 Add to Reading List Source URL: www.macromodelbase.com Language: English - Date: 2016-01-15 07:34:08 Economics Macroeconomics New Keynesian economics Time series models Noise Economic model Dynamic stochastic general equilibrium Macroeconomic model Autoregressive model Phillips curve ISLM model

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