Institute of Mathematical Statistics - PDFSEARCH.IO - Document Search Engine

Institute of Mathematical Statistics
Results: 390

#	Item
201	REPORT ON THE COMMENTS RECEIVED BY THE INSTITUTE OF MATHEMATICAL STATISTICS IN RESPONSE TO THE REQUEST FOR INPUT ON THE STRUCTURE OF NATIONAL SCIENCE FOUNDATION TO SUPPORT RESEARCH IN STATISTICAL SCIENCES Add to Reading List Source URL: imstat.org Language: English - Date: 2013-04-06 08:44:51 Evaluation methods Research methods Mathematical sciences Market research Marketing Mathematical statistics Applied mathematics Bernoulli Society for Mathematical Statistics and Probability Survey methodology Science Statistics Information
202	Real Options and Free-Boundary Problem: A Variational View Vadim Arkin, Alexander Slastnikov Central Economics and Mathematics Institute, Russian Academy of Sciences, Moscow Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-17 15:58:36 Mathematics Calculus of variations Mathematical optimization Brownian motion Continuous function Stopping time Hitting time Differential of a function Martingale Statistics Stochastic processes Mathematical analysis
203	Credit Modelling by Particle Systems and Stochastic PDEs Lei Jin joint work with Ben Hambly Mathematical Institute, University of Oxford Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-19 13:07:16 Ethology Copula Statistical dependence Mathematical model Scientific modelling Economic model Model Mathematics Statistics Actuarial science
204	Lecture Notes on Monte Carlo Methods Fall Semester, 2005 Courant Institute of Mathematical Sciences, NYU Jonathan Goodman, [removed] Chapter 3: Variance Reduction. Add to Reading List Source URL: www.math.nyu.edu Language: English - Date: 2005-11-08 16:13:43 Monte Carlo methods Variance reduction Probability theory Data analysis Variance Importance sampling Covariance Control variates Central limit theorem Statistics Probability and statistics Mathematical analysis
205	PDE for Finance Notes, Spring 2011 – Section 1. Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences. For use in connection with the NYU course PDE for Finance, G63[removed]Prepared in 2003, minor updates Add to Reading List Source URL: www.math.nyu.edu Language: English - Date: 2011-02-06 23:09:44 Stochastic processes Stochastic calculus Differential equations Stochastic differential equations Equations Partial differential equation Feynman–Kac formula Black–Scholes Infinitesimal generator Mathematical analysis Calculus Statistics
206	Power-law distributions in empirical data Aaron Clauset,1, 2 Cosma Rohilla Shalizi,3 and M. E. J. Newman4 1 Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA Department of Computer Science, University of N Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-12-18 20:31:24 Estimation theory Exponentials Normal distribution Statistical models Maximum likelihood Power law Exponential distribution Likelihood function Probability distribution Statistics Mathematical analysis Probability and statistics
207	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-23 00:17:42 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Consistent estimator Statistics Estimation theory Statistical theory
208	Statistical Science 2003, Vol. 18, No. 1, 1–32 © Institute of Mathematical Statistics, 2003 Could Fisher, Jeffreys and Neyman Have Agreed on Testing? Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-05-11 00:02:38 Statistical hypothesis testing P-value Statistical significance Confidence interval Statistical power Frequentist inference Frequency probability Bayesian probability Null hypothesis Statistics Hypothesis testing Statistical inference
209	arXiv:1110.3564v2 [cs.LG] 8 Nov[removed]Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems David R. Karger, Sewoong Oh, and Devavrat Shah Department of EECS, Massachusetts Institute of Technology Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-18 07:16:57 Theoretical computer science Coding theory Algorithm Mathematical logic Expectation–maximization algorithm Belief propagation Mathematics Statistics Applied mathematics
210	From Network Structure to Consequences & Control Shweta Bansal Isaac Newton Institute, Cambridge University Infectious Disease Dynamics Programme Add to Reading List Source URL: www.newton.ac.uk Language: English - Date: 2014-05-31 12:49:03 Science Mathematical modelling of infectious disease Scientific modelling Sexually transmitted disease Epidemic Epidemiology Health Statistics

UPDATE