Supplementary Material: Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data Michael C. Hughes1 , Emily B. Fox2 , and Erik B. Sudderth1 1

Source URL: www.stat.washington.edu

Monte Carlo and Beyond A short course on Quasi-Monte Carlo techniques for global illumination and radiative transport Alexander Keller

Source URL: multires.caltech.edu

• Randomness
• Numerical analysis
• Probabilistic complexity theory
• Monte Carlo integration
• Monte Carlo algorithm
• Algorithm
• Rendering
• Quasi-Monte Carlo method
• Low-discrepancy sequence
• Mathematics
• Applied mathematics
• Monte Carlo methods

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels Jiyan Yang1 ICME, Stanford University, Stanford, CAJIYAN @ STANFORD . EDU

Source URL: www.stat.berkeley.edu

• Numerical analysis
• Diophantine approximation
• Monte Carlo methods
• Low-discrepancy sequence
• Quasi-Monte Carlo method
• Halton sequence
• Quasi-Monte Carlo methods in finance
• Normal distribution
• Reproducing kernel Hilbert space
• Mathematical analysis
• Mathematics
• Randomness

/Users/yunliu/foamdata/EnKF/clmsens/atmbia_org_updt_500mb.eps

Source URL: aos.wisc.edu

• Estimation theory
• Bayesian statistics
• Statistical forecasting
• Monte Carlo methods
• Signal processing
• Parameter
• Data assimilation
• Global climate model
• Ensemble Kalman filter
• Atmospheric sciences
• Statistics
• Meteorology

4002 JOURNAL OF CLIMATE VOLUME 27

Source URL: aos.wisc.edu

• Monte Carlo methods
• Bayesian statistics
• Regression analysis
• Ensemble Kalman filter
• Parameter
• Global climate model
• Linear regression
• Statistics
• Estimation theory
• Econometrics

Atmos. Chem. Phys., 14, 11791–11815, 2014 www.atmos-chem-phys.netdoi:acp © Author(sCC Attribution 3.0 License. De praeceptis ferendis: good practice in multi-model ensemb

Source URL: www.atmos-chem-phys.net

• Monte Carlo methods
• Ensemble forecasting
• Forecasting
• Weather forecasting
• Ensemble averaging
• Variance
• Root-mean-square deviation
• Uncertainty
• Statistics
• Statistical forecasting
• Data analysis

Statement of Research Mohammad Arshad Rahman November 30, 2014 Research Area: Bayesian Econometrics, Econometrics. My research primarily focuses on Bayesian econometrics and simulation-based inference using

Source URL: www.iitk.ac.in

• Single equation methods
• Statistical models
• Computational statistics
• Monte Carlo methods
• Discrete choice
• Markov chain Monte Carlo
• Regression analysis
• Bayesian econometrics
• Probit
• Statistics
• Economics
• Econometrics

1 Introduction Non-uniform random variate generation is a small field of research somewhere between mathematics, statistics and computer science. It started in the fifties of the last century in the “stone-age” of

Source URL: statistik.wu-wien.ac.at

• Randomness
• Applied mathematics
• Monte Carlo methods
• Pseudorandom number generators
• Random variate
• Random number generation
• Pseudorandomness
• Exponential distribution
• Inverse transform sampling
• Non-uniform random numbers
• Probability and statistics
• Statistics

Model error in weather and climate forecasting Myles Allen & David Frame Department of Physics, University of Oxford [removed] With thanks to Ben Booth, Lenny Smith, Chris Forest, David Sexton,

Source URL: www.climateprediction.net

• Monte Carlo methods
• Prediction
• Data analysis
• Forecasting
• Time series analysis
• Climate sensitivity
• Ensemble forecasting
• Sampling
• Statistical forecasting
• Statistics
• Atmospheric sciences

Orbit propagation and statistical methods to address the Compliance of GTO with the French Space Operations Act C. Le Fèvre and al. 6th IAASS Conference - Montreal - 21 to 23 May 2013 Context

Source URL: iaassconference2013.space-safety.org

• Earth orbits
• Astrology
• Celestial mechanics
• Satellites
• Graveyard orbit
• Space debris
• Confidence interval
• Orbit
• Monte Carlo method
• Statistics
• Probability and statistics
• Astrodynamics