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Stochastic processes
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#	Item
641	TRANSFORMING SPATIAL POINT PROCESSES INTO POISSON PROCESSES USING RANDOM SUPERPOSITION By Jesper Møller∗ and Kasper K. Berthelsen∗ Aalborg University Most finite spatial point process models specified by a density Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2010-07-30 02:42:25 Markov processes Poisson distribution Point process Sturm–Liouville theory Statistics Stochastic processes Poisson processes
642	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 54, NO. 2, MARCHParsimonious Correlated Nonstationary Models for Real Baseband UWB Data Add to Reading List Source URL: ihome.ust.hk Language: English - Date: 2011-04-17 00:16:20 Telecommunications engineering Data transmission IEEE 802 Radio Ultra-wideband Estimation theory MIMO PHY Gaussian process Statistics Stochastic processes Statistical theory
643	FAST AND ACCURATE LONG STEPPING SIMULATION OF THE HESTON STOCHASTIC VOLATILITY MODEL JIUN HONG CHAN AND MARK JOSHI Abstract. In this paper, we present three new discretization schemes for the Heston stochastic volatility Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:12:15 Poisson processes Probability theory Data analysis Normal distribution Poisson distribution Exponential distribution Variance Gamma distribution Characteristic function Statistics Mathematical analysis Probability and statistics
644	1 Detection of linear trends in multi-sensor time series in presence of 2 Add to Reading List Source URL: public.enst-bretagne.fr Language: English - Date: 2013-03-26 04:11:48 Estimation theory Regression analysis Stochastic processes Trend estimation SeaWiFS Autocorrelation Time series Variance MERIS Statistics Time series analysis Signal processing
645	Phase-Type Distributions for Competing Risks Bo Henry Lindqvist Norwegian University of Science and Technology, Trondheim, NORWAY e-mail: Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Regression analysis Statistical models Econometrics Markov chain Phase-type distribution Proportional hazards models Expectation–maximization algorithm Stochastic matrix Gibbs sampling Statistics Markov models Markov processes
646	Advances in Modeling and Inference for Environmental Processes with Nonstationary Spatial Covariance Paul Sampson Doris Damian Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-06-20 17:12:01 Spatial data analysis Stochastic processes Time series analysis Variogram Kriging Covariance function Gaussian process Covariance matrix Covariance Statistics Geostatistics Covariance and correlation
647	59 Diffusing populations: Ghosts or folks? * MJ Simpson †, BD Hughes and KA Landman Department of Mathematics and Statistics, University of Melbourne, Victoria Add to Reading List Source URL: www.engineersmedia.com.au Language: English - Date: 2014-11-25 20:53:00 Mathematical analysis Mathematics Stochastic processes Random walk Partial differential equation
648	egu_logo_without_circle_grey Add to Reading List Source URL: www.oceanography.ucy.ac.cy Language: English - Date: 2013-11-01 09:10:10 Probability and statistics Statistical mechanics Heat transfer Diffusion Dynamical systems Brownian motion Temperature Stochastic differential equation Lagrangian Statistics Physics Stochastic processes
649	ARTICLES Random organization in periodically driven systems LAURENT CORTE´ 1 , P. M. CHAIKIN1 , J. P. GOLLUB2 AND D. J. PINE1 * 1 Add to Reading List Source URL: www.haverford.edu Language: English - Date: 2009-09-02 12:52:04 Physics Matter Condensed matter physics Soft matter Stochastic processes Colloid Brownian motion Rheology Particle Colloidal chemistry Chemistry Dosage forms
650	Impact of Sub-optimal Checkpoint Intervals on Application Efficiency in Computational Clusters ∗ William M. Jones Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2010-06-29 18:10:37 Stochastic processes Markov models Software quality Systems engineering Application checkpointing Queueing theory Job scheduler Reliability engineering Queueing model Statistics Computing Fault-tolerant computer systems

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