PPT-Connecting Simulation-Based Inference with Traditional Meth

Author : sherrill-nordquist | Published Date : 2016-08-10

Kari Lock Morgan Penn State Robin Lock St Lawrence University Patti Frazer Lock St Lawrence University USCOTS 2015 Overview We use simulationbased methods to introduce

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Connecting Simulation-Based Inference wi..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Connecting Simulation-Based Inference with Traditional Meth: Transcript

Kari Lock Morgan Penn State Robin Lock St Lawrence University Patti Frazer Lock St Lawrence University USCOTS 2015 Overview We use simulationbased methods to introduce the key ideas of inference. These meth ods draw on two broad strategies for reducing variance taking advantage of tractable features of a model to adjust or correct simulation outputs and reducing the variability in simulation inputs We discuss control variates antithetic vari Kari Lock Morgan. Department of Statistical Science, Duke University. kari@stat.duke.edu. . with Robin Lock, Patti Frazer Lock, Eric Lock, Dennis Lock. ECOTS. 5/16/12. Hypothesis Testing:. Use a formula to calculate a test statistic. Blended Learning in Basic and Advanced Cardiac Life Support Training. Geoffrey T. Miller. Associate Director, Research and Curriculum Development. Division of . Prehospital. and Emergency Healthcare. . and Randomization Procedures. Dennis Lock. Statistics Education Meeting. October 30, 2012. 1. An introductory statistics book writing with my family. Robin H. Lock (St. Lawrence). Patti F. Lock (St. Lawrence). Robin Lock. Burry Professor of Statistics. St. Lawrence University. 2015 Joint Statistics Meetings – Seattle, WA. August 2015. Simulation-Based Inference (SBI) Projects. Lock. 5. . lock5stat.com. Kari Lock Morgan. Department of Statistical Science, Duke University. kari@stat.duke.edu. . with Robin Lock, Patti Frazer Lock, Eric Lock, Dennis Lock. ECOTS. 5/16/12. Hypothesis Testing:. Use a formula to calculate a test statistic. Allan Rossman. Cal Poly – San Luis Obispo. arossman@calpoly.edu. http://statweb.calpoly.edu/arossman/. Advertisement. I will present a longer, more interactive version of this in a workshop on Saturday afternoon in Lincoln room. Department of Statistics. Penn State . University. USA. Making computing skills part of learning introductory stats. Royal Statistical Society. 10/13/16. ASA 2016 Recommendations for Intro Stat. GAISE: Guidelines . Blended Learning in Basic and Advanced Cardiac Life Support Training. Geoffrey T. Miller. Associate Director, Research and Curriculum Development. Division of . Prehospital. and Emergency Healthcare. Robin Lock. Burry Professor of Statistics. St. Lawrence University. MAA Allegheny Mountain . 2014 Section Spring Meeting. Westminster College. The Lock. 5. Team. Dennis. Iowa State. Kari. Harvard/Duke. Allan Rossman and Beth Chance. Cal Poly – San Luis Obispo. arossman@calpoly.edu. bchance@calpoly.edu. 2. AMATYC webinar April 2016. 2. Outline. Who are you?. Overview, motivation. Three examples. A. . With Bayesian conditional density estimation. Problem. Analytic expressions for likelihood of parameters is not available with simulation based models. Approximate Bayesian Computation (ABC). Provides likelihood free inference. Kari Lock Morgan, Penn State . Robin Lock, St. Lawrence University. Patti Frazer Lock, St. Lawrence University. USCOTS 2015. Overview. We use simulation-based methods to introduce the key ideas of inference. By Josh Tabor. Canyon del Oro High . School. Oro Valley, AZ. joshtabor@hotmail.com. Using Simulation to Introduce Inference for Regression. Randomization tests are growing in popularity as an alternative to traditional tests, but also as a way to help students to understand the logic of inference. In this webinar, we will use Fathom software and online applets to introduce inference for the slope of a least-squares regression line..

Download Document

Here is the link to download the presentation.
"Connecting Simulation-Based Inference with Traditional Meth"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.