View:

- no detail
- some detail
- full detail

## Numerical algorithms

*Christopher G. Small and Jinfang Wang*

### in Numerical Methods for Nonlinear Estimating Equations

- Published in print:
- 2003
- Published Online:
- September 2007
- ISBN:
- 9780198506881
- eISBN:
- 9780191709258
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198506881.003.0003
- Subject:
- Mathematics, Probability / Statistics

This chapter surveys a variety of root-finding and hill-climbing algorithms that are useful for solving estimating equations or maximizing artificial likelihoods, starting with a basic technique ... More

## Simulated Maximum Likelihood, Pseudo‐Maximum Likelihood, and Nonlinear Least Squares Methods

*Christian Gouriéroux and Alain Monfort*

### in Simulation-based Econometric Methods

- Published in print:
- 1997
- Published Online:
- November 2003
- ISBN:
- 9780198774754
- eISBN:
- 9780191596339
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198774753.003.0003
- Subject:
- Economics and Finance, Econometrics

The simulated analogues to Maximum Likelihood, Pseudo‐Maximum Likelihood, and Non‐Linear Least Squares Methods are presented. Their asymptotic properties and bias corrections are given under various ... More

## Algorithms for estimating parametric nonlinear models

*Timo Teräsvirta, Dag Tjøstheim, and W. J. Granger*

### in Modelling Nonlinear Economic Time Series

- Published in print:
- 2010
- Published Online:
- May 2011
- ISBN:
- 9780199587148
- eISBN:
- 9780191595387
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199587148.003.0012
- Subject:
- Economics and Finance, Econometrics

This chapter contains an introduction to estimating parametric nonlinear models. Estimation has to be carried out using numerical algorithms. Both algorithms not using derivatives of the function to ... More

## A primer on probabilistic inference

*Thomas L. Griffiths and Alan Yuille*

### in The Probabilistic Mind:: Prospects for Bayesian cognitive science

- Published in print:
- 2008
- Published Online:
- March 2012
- ISBN:
- 9780199216093
- eISBN:
- 9780191695971
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199216093.003.0002
- Subject:
- Psychology, Cognitive Psychology

This chapter provides the technical introduction to Bayesian methods. Probabilistic models of cognition are often referred to as Bayesian models, reflecting the central role that Bayesian inference ... More

## Clustering and unsupervised classification

*Peter Grindrod CBE*

### in Mathematical Underpinnings of Analytics: Theory and Applications

- Published in print:
- 2014
- Published Online:
- March 2015
- ISBN:
- 9780198725091
- eISBN:
- 9780191792526
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198725091.003.0005
- Subject:
- Mathematics, Analysis, Probability / Statistics

This chapter examines iterative clustering methods including finite mixture modelling based on the EM algorithm. Applications to behavioural segmentation of domestic energy customers, the ... More

## A Primer on Empirical Methodology

*G. Andrew Karolyi*

### in Cracking the Emerging Markets Enigma

- Published in print:
- 2015
- Published Online:
- June 2015
- ISBN:
- 9780199336623
- eISBN:
- 9780190232047
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199336623.003.0003
- Subject:
- Economics and Finance, International, Development, Growth, and Environmental

This chapter focuses on the empirical methodology—principal components analysis (PCA)—used to build each of the six risk indicators across the 33 emerging and 24 developed markets featured in the ... More

## Missing data: mechanisms, methods, and messages

*Shinichi Nakagawa*

### in Ecological Statistics: Contemporary theory and application

- Published in print:
- 2015
- Published Online:
- April 2015
- ISBN:
- 9780199672547
- eISBN:
- 9780191796487
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199672547.003.0005
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Missing data are ubiquitous in ecological and evolutionary data sets as in any other branch of science. The common methods used to deal with missing data are to delete cases containing missing data, ... More

## Network statistics and measurement error

*Mark Newman*

### in Networks

- Published in print:
- 2018
- Published Online:
- October 2018
- ISBN:
- 9780198805090
- eISBN:
- 9780191843235
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198805090.003.0009
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

This chapter introduces the mathematics of network statistics, the quantification of errors in network data, and the estimation of network structure in the presence of error. The discussion starts ... More

View:

- no detail
- some detail
- full detail