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Review

2019

Review

2019

Abstract On-line platforms foster the communication capabilities of the Internet to develop large-scale influence networks in… Expand

Review

2019

Review

2019

This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear… Expand

Review

2018

Review

2018

This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has… Expand

Review

2018

Review

2018

We introduce new modules in the open-source PyCBC gravitational- wave astronomy toolkit that implement Bayesian inference for… Expand

Highly Cited

2004

Highly Cited

2004

1. The general discrete inverse problem 2. Monte Carol methods 3. The least-squares criterion 4. Least-absolute values criterion… Expand

Highly Cited

1993

Highly Cited

1993

Minimum variance unbiased estimation Cramer-Rao lower bound linear models general minimum variance unbiased estimation best… Expand

Highly Cited

1992

Highly Cited

1992

Introduction The Logic of Hierarchical Linear Models Principles of Estimation and Hypothesis Testing for Hierarchical Linear… Expand

Highly Cited

1986

Highly Cited

1986

Classical Estimation Theory. Discrete-Time Kalman Filter. Continuous-Time Kalman Filter. Dalman Filter Design and Implementation… Expand

Highly Cited

1978

Highly Cited

1978

Getting the books quantum detection and estimation theory now is not type of challenging means. You could not unaided going… Expand

Highly Cited

1965

Highly Cited

1965

A method is described for the minimization of a function of n variables, which depends on the comparison of function values at… Expand