Discretization of continuous attributes for supervised learning Variance evaluation and variance reduction ` - Belgium Louis WEHENKEL - University of Liege 

Source URL: www.montefiore.ulg.ac.be

Applied Inductive Learning Project 2 - bias and variance analysis November 2014 The goal of this project is to help you better understand the important notions of bias and variance. The first part of the project is purel

Source URL: static.ajoly.org

Local likelihood estimation for nonstationary random fields

Source URL: www.stat.ucdavis.edu

• Estimation theory
• Statistical theory
• Maximum likelihood estimation
• Bias of an estimator
• Estimator
• Parameter
• Likelihood function
• Standard deviation
• Variance function

Ann Inst Stat Math:329–351 DOIs10463Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data Ke-Hai Yuan · Wai Chan · Yubin Tian

Source URL: www.ism.ac.jp

• Statistics
• Estimation theory
• Covariance matrix
• Estimator
• Maximum likelihood estimation
• Variance
• Covariance
• Regression analysis
• M-estimator
• Normal distribution
• Linear regression
• Expected value

Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Mathematical & Statistical Sciences

Source URL: webdocs.cs.ualberta.ca

• Probability distributions
• Estimation theory
• Econometrics
• Statistical theory
• Summary statistics
• Normal distribution
• Bayesian network
• Beta distribution
• Mode
• Linear regression
• Delta method
• Gamma distribution

Honest Confidence Intervals for the Error Variance in Stepwise Regression Dean P. Foster and Robert A. Stine Department of Statistics The Wharton School of the University of Pennsylvania Philadelphia, PA

Source URL: www-stat.wharton.upenn.edu

Applied Inductive Learning Project 2 - bias and variance analysis October 22, 2015 The goal of this project is to help you better understand the important notions of bias and variance. The first part of the project is pu

Source URL: static.ajoly.org

Disentangling Total Error, Bias, and Variance in Election Polls Houshmand Shirani-Mehr Stanford University David Rothschild

Source URL: researchdmr.com

Introduction to Time Series Analysis. LectureReview: The periodogram, the smoothed periodogram. 2. Other smoothed spectral estimators. 3. Consistency. 4. Asymptotic distribution.

Source URL: www.stat.berkeley.edu

• Statistics
• Frequency domain analysis
• Estimator
• Spectral density estimation
• Mathematical analysis
• Probability
• Variance
• Probability distributions

On variance, injectivity, and abstraction Jacques Garrigue 1 Introduction

Source URL: www.math.nagoya-u.ac.jp

• Software engineering
• Type theory
• Object-oriented programming
• Computing
• Computer programming
• Data types
• Polymorphism
• Functional programming
• Covariance and contravariance
• Subtyping
• Generalized algebraic data type
• Variance