Monte Carlo methods

Results: 695



#Item
491Estimation theory / Data analysis / Monte Carlo methods / Cross-validation / Resampling / Bootstrapping / Mean squared error / Regression analysis / Estimator / Statistics / Statistical inference / Computational statistics

Prediction Error Estimation: A Comparison of Resampling Methods Annette M. Molinaro ∗ Biostatistics Branch Division of Cancer Epidemiology and Genetics, NCI, NIH Richard Simon

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Source URL: linus.nci.nih.gov

Language: English - Date: 2013-03-12 10:01:36
492Monte Carlo methods / Markov processes / Computational statistics / Markov chain / Continuous-time Markov process / Phase-type distribution / Bayesian inference / Hyperparameter / Metropolis–Hastings algorithm / Statistics / Bayesian statistics / Markov models

Package ‘PhaseType’ July 2, 2014 Title Inference for Phase-type Distributions Description Functions to perform Bayesian inference on absorption time data for Phase-type distributions. Plans to expand this to include

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 10:12:29
493Computational physics / Monte Carlo method / Numerical analysis / Probabilistic complexity theory / Normal distribution / Parameter / Pseudorandomness / Estimation theory / Monte Carlo methods in finance / Applied mathematics / Statistics / Mathematics

Monte-Carlo Module 5.0 Section 5.0

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Source URL: epa.gov

Language: English - Date: 2012-11-15 12:37:59
494Computational science / Global warming / Monte Carlo methods / Climate forcing / Global climate model / Climate sensitivity / HadCM3 / Climate model / Ensemble Kalman filter / Atmospheric sciences / Climatology / Meteorology

Microsoft Word - Yokohata-etal-2011.ClimDyn

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Source URL: www.jamstec.go.jp

Language: English - Date: 2012-10-09 02:45:54
495Statistical forecasting / Computational science / Monte Carlo methods / Ensemble forecasting / Weather prediction / Data analysis / Statistical ensemble / Histogram / Numerical weather prediction / Science / Statistics / Atmospheric sciences

Click Here GEOPHYSICAL RESEARCH LETTERS, VOL. 37, L02703, doi:[removed]2009GL041994, 2010 for

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Source URL: www.jamstec.go.jp

Language: English - Date: 2012-10-09 02:45:53
496Numerical analysis / Statistical methods / Monte Carlo method / Probabilistic complexity theory / Sensitivity analysis / Mathematical model / Economic model / Probability distribution / Regression analysis / Mathematics / Statistics / Science

Uncertainty in Design Space

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Source URL: www.fda.gov

Language: English
497Monte Carlo methods / Functional analysis / Mathematical physics / Physics / Mathematical sciences / Ensemble forecasting / Numerical weather prediction / Lyapunov vector / Matrix / Science / Weather prediction / Statistical forecasting

A Stochastic Total Tendency Perturbation Scheme Representing ModelRelated Uncertainties in the NCEP Global Ensemble Forecast System Dingchen Hou*, Zoltan Toth**, Yuejian Zhu Weiyu Yang* and Richard Wobus* Environmental

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Source URL: www.emc.ncep.noaa.gov

Language: English - Date: 2011-01-07 13:08:48
498Computational physics / Monte Carlo method / Numerical analysis / Probabilistic complexity theory / Normal distribution / Parameter / Pseudorandomness / Estimation theory / Monte Carlo methods in finance / Applied mathematics / Statistics / Mathematics

Monte-Carlo Module 5.0 Section 5.0

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Source URL: www.epa.gov

Language: English - Date: 2012-11-15 12:37:59
499Estimation theory / Robot control / Probability and statistics / Normal distribution / Particle filter / Pi / Statistics / Mathematical analysis / Monte Carlo methods

Non-Gaussian Belief Space Planning: Correctness and Complexity Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, Russ Tedrake Abstract— We consider the partially observable control problem where it is potentially nec

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Source URL: people.csail.mit.edu

Language: English - Date: 2012-06-11 20:18:06
500Computational statistics / Estimation theory / Gaussian function / Gibbs sampling / Normal distribution / Expectation–maximization algorithm / Kullback–Leibler divergence / Multivariate kernel density estimation / Importance sampling / Statistics / Monte Carlo methods / Non-parametric statistics

T O APPEAR IN N EURAL I NFORMATION P ROCESSING S YSTEMS[removed]Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, and Alan S. Willsky Department of E

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Source URL: ssg.mit.edu

Language: English - Date: 2012-02-01 13:34:22
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