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Review

2019

Review

2019

Radio waves carry both energy and information simultaneously. Nevertheless, radio-frequency (RF) transmissions of these… Expand

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Review

2018

Review

2018

There has been much recent work on training neural attention models at the sequence-level using either reinforcement learning… Expand

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Highly Cited

2010

Highly Cited

2010

Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each… Expand

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Highly Cited

2005

Highly Cited

2005

INTRODUCTION BINOMIAL DATA Challenger Disaster Example Binomial Regression Model Inference Tolerance Distribution Interpreting… Expand

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Highly Cited

2004

Highly Cited

2004

Recent advances in the statistical theory of hierarchical linear models should enable important breakthroughs in the measurement… Expand

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Highly Cited

1997

Highly Cited

1997

In the problem of selecting a linear model to approximate the true un- known regression model, some necessary and/or sufficient… Expand

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Highly Cited

1993

Highly Cited

1993

Abstract We consider the problem of selecting a model having the best predictive ability among a class of linear models. The… Expand

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Highly Cited

1992

Highly Cited

1992

PART I THE LOGIC OF HIERARCHICAL LINEAR MODELING Series Editor 's Introduction to Hierarchical Linear Models Series Editor 's… Expand

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Highly Cited

1988

Highly Cited

1988

This textbook on theoretical geodesy deals with the estimation of unknown parameters, the testing of hypothesis and the… Expand

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Highly Cited

1976

Highly Cited

1976

In this book, Franklin A. Graybill integrates the linear statistical model within the context of analysis of variance… Expand

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