INTERNATIONALE KONFERENZ MONTE CARLO METHODS 2001 INTERNATIONAL CONFERENCE ON MONTE CARLO METHODS 2001 Salzburg, September, 2001 Zimmerbestellung / Hotel Accommodation Request Bitte bis spätestens 6. August 2001

Source URL: mcm2001.sbg.ac.at

Chapter 4 Monte Carlo methods In this chapter we will discuss an introduction to the so-called Monte Carlo (MC) simulations, which use random numbers and a sequential description of the operations as basic concept. Beca

Source URL: ihp-lx.ethz.ch

IEEE TRANSACTIONS ON SMART GRID, VOL. 6, NO. 6, NOVEMBERShapley Value Estimation for Compensation of Participants in Demand Response Programs

Source URL: isl.stanford.edu

• Statistics
• Descriptive statistics
• Sampling
• Summary statistics
• Monte Carlo methods
• Variance reduction
• Means
• Shapley value
• Stratified sampling
• Sample size determination
• Variance
• Normal distribution

Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots Teddy N. Yap, Jr. and Christian R. Shelton Department of Computer Science and Engineering University of California, Riverside, CA 92521, USA {

Source URL: rlair.cs.ucr.edu

• Robot control
• Statistics
• Robot navigation
• Estimation theory
• Engineering
• Artificial intelligence
• Linear filters
• Simultaneous localization and mapping
• Monte Carlo methods
• Kalman filter
• Robot calibration
• Sensor

PDF Document

Source URL: mcqmc2016.stanford.edu

• Monte Carlo methods
• Statistics
• Applied mathematics
• Probability
• Quasirandomness
• Quasi-Monte Carlo method
• Computational physics
• Sampling techniques
• Statistical mechanics
• Markov chain Monte Carlo
• Monte Carlo
• Monte

Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic Lorenzo De Stefani, Alessandro Epasto, Eli Upfal Fabio Vandin

Source URL: www.epasto.org

• Permutations
• Mathematics
• Randomness
• Monte Carlo methods
• Permutation
• Mathematical analysis
• Random permutation
• Resampling
• Permutation pattern
• Skew and direct sums of permutations

Quantum Approximate Markov Chains and the Locality of Entanglement Spectrum Fernando G.S.L. Brandão Caltech based on joint work with

Source URL: fernandobrandao.org

• Markov models
• Markov processes
• Mathematical analysis
• Spectral theory
• Monte Carlo methods
• Ordinary differential equations
• Mathematics
• Markov chain

Distance sampling Len Thomas, Stephen T. Buckland, Kenneth P. Burnham, David R. Anderson, Jeffrey L. Laake, David L. Borchers & Samantha Strindberg Volume 1, pp 544–552 in Encyclopedia of Environmetrics

Source URL: distancesampling.org

• Environmental statistics
• Statistics
• Academia
• Knowledge
• Sampling techniques
• Monte Carlo methods
• Transect
• Distance sampling
• Sampling
• Line-intercept sampling
• Resampling
• Nearest neighbor search

Monte Carlo Methods for Quantum Spin Models Stefan Wessel Institute for Theoretical Solid State Physics JARA-FIT and JARA-HPC RWTH Aachen University

Source URL: www.cond-mat.de

• Physics
• Quantum mechanics
• Electromagnetism
• Statistical mechanics
• Heisenberg model
• Magnetic ordering
• Quantum magnetism
• Werner Heisenberg
• Quantum Monte Carlo
• Spin
• Ising model

GOES Imager IR Channel to Channel Co-Registration Correction Program in the GOES Ground System Zhenping Li Timothy J. Schmit

Source URL: directreadout.noaa.gov

• Mathematical analysis
• Image processing
• Statistical inference
• Monte Carlo methods
• Resampling
• Image scaling
• Fourier transform
• Geostationary Operational Environmental Satellite
• Statistics
• Analysis