'Model choice' presentation slideshows

Quantitative Methods

Quantitative Methods. Model Selection I: principles of model choice and designed experiments. Model Selection I: principles of model choice. The problem of model choice. Model Selection I: principles of model choice. The problem of model choice. Model Selection I: principles of model choice.

480 views • 40 slides

Practical Issues in Stochastic Modelling

Practical Issues in Stochastic Modelling. September 2004 Nigel Knowles (Standard Life) Michael Payne (Scottish Widows). Agenda. Overview of realistic balance sheets The liability model Model points Asset model calibration Modelling assumptions Dynamic behaviour Dynamic decisions

485 views • 34 slides

Chapter 1: Introduction to Pattern Recognition

Chapter 1: Introduction to Pattern Recognition. Machine Perception An example Pattern Recognition Systems The Design Cycle Learning and Adaptation Conclusion.

767 views • 30 slides

Ex Post Relative Valuation Process Honing

412 views • 29 slides

TenConnect (Trans-Tools version 2)

372 views • 28 slides

GS Quantify

GS Quantify . Team HauntQuant October 25 th , 2013. Problem 1. Algorithmic Trading. Overview. Compute the raw amount to be traded (A 0 ) for the current time instant. Modify the raw amount based on D eparture of price from local avg. S lope of the price curve

388 views • 27 slides

439 views • 27 slides

Modelling Healthcare Associated Infections: A case study in MRSA .

337 views • 24 slides

Current Challenges in Bayesian Model Choice: Comments

Current Challenges in Bayesian Model Choice: Comments. William H. Jefferys Department of Astronomy University of Texas at Austin and Department of Statistics University of Vermont. The Problem. This paper thoroughly discusses modern Bayesian model choice, both theory and experience

332 views • 23 slides

Current Challenges in Bayesian Model Choice: Comments

Current Challenges in Bayesian Model Choice: Comments. William H. Jefferys Department of Astronomy University of Texas at Austin and Department of Statistics University of Vermont. The Problem. This paper thoroughly discusses modern Bayesian model choice, both theory and experience

237 views • 23 slides

Web Scale NLP: A Case Study on URL Word Breaking

Web Scale NLP: A Case Study on URL Word Breaking. Kuansan Wang, Chris Thrasher, Bo-June (Paul) Hsu Microsoft Research, Redmond, USA WWW 2011 March 31, 2011. More Data > Complex Model. Banko and Brill. Mitigating the Paucity-of-Data Problems . HLT 01. More Data > Complex Model. ?.

303 views • 21 slides

Bayesian evidence for visualizing model selection uncertainty

318 views • 19 slides

Double-criterion Choice of the Optimal Model in GMDH Algorithms Ievgeniia Savchenko

Double-criterion Choice of the Optimal Model in GMDH Algorithms Ievgeniia Savchenko. International Research and Training Centre of Information Technologies and Systems of NAS of Ukraine savchenko@irtc.org.ua. Introduction.

187 views • 18 slides

Modelling exercise on scale dependencies

Modelling exercise on scale dependencies. M. Schaap , L. Rouill , A. van Pul , A. Graff, H. Fagerli. I ntroduction. Model exercise to: Assess model performance of CTMs as function of model resolution Assess robustness of citydelta approach used in EC4MACS.

173 views • 6 slides

The role of physical proximity in a social-learning model choice task

10m. High. Low. High. Low. Observation Phase 20-min sessions Ten days. The role of physical proximity in a social-learning model choice task Darby Proctor 1,2 , Victoria Horner 1 , Frans de Waal 1

114 views • 1 slides