'Bayesian statistics' presentation slideshows

Statistical Methods for Particle Physics Lecture 1: probability, random variables, MC

Statistical Methods for Particle Physics Lecture 1: probability, random variables, MC. www.pp.rhul.ac.uk /~ cowan / stat_aachen.html. Graduierten-Kolleg RWTH Aachen 10-14 February 2014. Glen Cowan Physics Department Royal Holloway, University of London g.cowan@rhul.ac.uk

895 views • 72 slides

Some aspects of statistics at LHC

Some aspects of statistics at LHC. N.V.Krasnikov INR, Moscow. Outline. 1. Introduction 2. Parameters estimation 3. Confidence intervals 4. Systematics 5. Upper limits at LHC 6. Conclusion. 1. Introduction The statistical model of an analysis

792 views • 69 slides

Statistical Methods for Discovery and Limits in HEP Experiments Day 3: Exclusion Limits

Statistical Methods for Discovery and Limits in HEP Experiments Day 3: Exclusion Limits. www.pp.rhul.ac.uk/~cowan/stat_freiburg.html. Vorlesungen des GK Physik an Hadron-Beschleunigern , Freiburg, 27-29 June, 2011. Glen Cowan Physics Department Royal Holloway, University of London

815 views • 68 slides

School on Data Science in (Astro)particle Physics and Cosmology Braga, 25-27 March, 2019

Statistical Methods for (Astro)particle Physics and Cosmology Lecture 1: Introduction, statistical tests. https://www.lip.pt/events/2019/data-science/. School on Data Science in (Astro)particle Physics and Cosmology Braga, 25-27 March, 2019. Glen Cowan Physics Department

667 views • 66 slides

Welcome to Amsterdam!

Welcome to Amsterdam!. Welcome to Amsterdam!. Bayesian Modeling for Cognitive Science: A WinBUGS Workshop. Contributors. Michael Lee http://www.socsci.uci.edu/~mdlee/. Contributors. Dora Matzke http://dora.erbe-matzke.com/. Contributors. Ruud Wetzels http://www.ruudwetzels.com/.

791 views • 56 slides

Statistics

Statistics. How to get data and model to fit together?. Experimental planning. Statistical methods can be used in order to better plan ones experiments:

532 views • 53 slides

Educational Tools for Introductory Bayesian Statistics using Mathematica

Educational Tools for Introductory Bayesian Statistics using Mathematica. Shin-ichi Mayekawa Graduate School of Decision Science and Technology. Tokyo Institute of Technology. Purpose of this Research. Find a way to use Mathematica e fficiently in Bayesian Statistics.

663 views • 51 slides

646 views • 50 slides

Mathematical Foundations

Mathematical Foundations. Elementary Probability Theory Essential Information Theory. Motivations. Statistical NLP aims to do statistical inference for the field of NL

501 views • 48 slides

Bayesian analysis and problems with the frequentist approach

Bayesian analysis and problems with the frequentist approach. Rencontres de Moriond (QCD) La Thuile, 17-24 March, 2007. Glen Cowan Physics Department Royal Holloway, University of London g.cowan@rhul.ac.uk www.pp.rhul.ac.uk/~cowan. Outline. 1 Probability

477 views • 40 slides

DATA 220 Mathematical Methods for Data Analysis October 1 Class Meeting

DATA 220 Mathematical Methods for Data Analysis October 1 Class Meeting. Department of Applied Data Science San Jose State University Fall 2019 Instructor: Ron Mak www.cs.sjsu.edu/~mak. More Monty Hall. The classic Monty Hall problem has 3 doors and 1 car.

375 views • 37 slides

Frequently Bayesian The role of probability in data analysis

Frequently Bayesian The role of probability in data analysis. Terascale Statistics School DESY, Hamburg 30 September, 2008. Glen Cowan Physics Department Royal Holloway, University of London g.cowan@rhul.ac.uk www.pp.rhul.ac.uk/~cowan. Outline. Tuesday: The Bayesian method

353 views • 35 slides

Statistical Methods in Particle Physics Lecture 1: Bayesian methods

454 views • 32 slides

Bayesian inference

560 views • 19 slides

Introduction

Introduction. Errors result in uncertainty. However, uncertainty can also be caused by vagueness in the conceptual model. This can be modelled using fuzzy set theory . Today we will look at two topics: Modelling conceptual vagueness using fuzzy sets

279 views • 17 slides

Activity in the (sort of) Old Trent Region

Ron Akehurst Professor of Health Economics Dean of ScHARR Director of Sheffield Unit, Trent Institute. Trent Institute for Health Services Research. Activity in the (sort of) Old Trent Region. HISTORY. Trent Institute set up in 1994 by what was then the Trent Regional Health Authority

347 views • 16 slides

Applied Statistics Diploma - Edukite

All of us will encounter statistical problems in our lives since it is the science of collecting, analyzing, and making deductions from the data available. Learning the basics of statistics will enhance our analytical skills to help us decide objectively. See More: https://bit.ly/2J837UP

95 views • 9 slides

An Overview STARMAP Project I

An Overview STARMAP Project I. Jennifer Hoeting Department of Statistics Colorado State University jah@stat.colostate.edu www.stat.colostate.edu/~jah. CR -829095. STARMAP: Space-Time Aquatic Resources Modeling and Analysis Program. Funded by the U.S. Environmental Protection Agency (EPA)

214 views • 8 slides

Lecture 2

Lecture 2. Frequentist vs Bayesian statistics. We can draw stronger conclusions from Bayesian statistics! Frequentist P- value : P( observed data or more extreme | H o ) Bayesian P- value : P(H o | data) Concerns about Bayesian inference

183 views • 6 slides

Compulsory and Elective courses I did during Masteru00b4s Degree on Fundamentals of Data Science

22 views • 1 slides