Results 1 - 10 of 903,948

Comparing Predictive Accuracy

by Francis X. Diebold, Roberto S. Mariano - JOURNAL OF BUSINESS AND ECONOMIC STATISTICS, 13, 253-265 , 1995
"... We propose and evaluate explicit tests of the null hypothesis of no difference in the accuracy of two competing forecasts. In contrast to previously developed tests, a wide variety of accuracy measures can be used (in particular, the loss function need not be quadratic, and need not even be symmetri ..."
Abstract - Cited by 1309 (26 self) - Add to MetaCart
We propose and evaluate explicit tests of the null hypothesis of no difference in the accuracy of two competing forecasts. In contrast to previously developed tests, a wide variety of accuracy measures can be used (in particular, the loss function need not be quadratic, and need not even

The Predictive Accuracy

by Brian G - of Shoreline Change Rate Methods and Alongshore Beach Variation on Maui, Hawaii. Journal of Coastal Research, ISSN 0749-0208 , 2007
"... and precision in sampling hyporheic fauna ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
and precision in sampling hyporheic fauna

Discussion: Unification and Predictive Accuracy*

by Malcolm R. Forster, Especially Paul Anders, W. John Koolage, Greg Novack
"... Wayne Myrvold (2003) has captured an important feature of unified theories, and he has done so in Bayesian terms. What is not clear is whether the virtue of such unification is most clearly understood in terms of Bayesian confirmation. I argue that the virtue of such unification is better understood ..."
Abstract - Add to MetaCart
understood in terms of other truth-related virtues such as predictive accuracy. † Send requests for reprints to: email: mforster @ wisc.edu; homepage:

TESTING FOR DIFFERENCES IN PREDICTIVE ACCURACY

by Eva Ferreira, Winfried Stute
"... In this paper we provide new tests for the difference in predictive accuracy of two prog-nostic factors X1 and X2 on a common output Y. Given a set of independent replicates of (X1,X2,Y), we split this sample into a learning part for estimating the unknown regression functions, and a validation part ..."
Abstract - Add to MetaCart
In this paper we provide new tests for the difference in predictive accuracy of two prog-nostic factors X1 and X2 on a common output Y. Given a set of independent replicates of (X1,X2,Y), we split this sample into a learning part for estimating the unknown regression functions, and a validation

Prediction of Protein Secondary Structure at Better than 70% Accuracy

by Burkhard Rost, Chris Sander , 1993
"... ..."
Abstract - Cited by 745 (39 self) - Add to MetaCart
Abstract not found

Generality is Predictive of Prediction Accuracy

by Geoffrey I. Webb, Damien Brain
"... During knowledge acquisition multiple alternative potential rules all appear equally credible. This paper addresses the dearth of formal analysis about how to select between such alternatives. It presents two hypotheses about the expected impact of selecting between classification rules of differing ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
of differing levels of generality in the absence of other evidence about their likely relative performance on unseen data. It is argued that the accuracy on unseen data of the more general rule will tend to be closer to that of a default rule for the class than will that of the more specific rule. It is also

A study of branch prediction strategies

by E. Smith, Arden Hills Minnesota - In Proceedings of the 8th annual symposium on Computer Architecture
"... In high-performance computer systems. performance losses due to conditional branch instructrons can be minrmized by predicting a branch outcome and fetching, decoding, and/or issuing subsequent instructions before the actual outcome is known. This paper discusses branch prediction strategies wrth th ..."
Abstract - Cited by 478 (16 self) - Add to MetaCart
the goal of maxtmizing prediction accuracy. First. currently used techniques are discussed and analyzed using instruction tmce data. Then, new techniques are proposed and are shown to provide greater accuracy and more flexibility at low cost.

Beyond Predictive Accuracy: What?

by Christophe Giraud-Carrier - Technical University of Chemnitz , 1998
"... This paper presents a number of such criteria and discusses the impact they have on meta-level approaches to model selection. 1 Introduction ..."
Abstract - Cited by 11 (2 self) - Add to MetaCart
This paper presents a number of such criteria and discusses the impact they have on meta-level approaches to model selection. 1 Introduction

Predictive Accuracy as an Achievable Goal of Science

by Malcolm R. Forster
"... What has science actually achieved? A theory of achievement should (1) define what has been achieved, (2) describe the means or methods used in science, and (3) explain how such methods lead to such achievements. Predictive accuracy is one truth-related achievement of science, and there is an explan ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
What has science actually achieved? A theory of achievement should (1) define what has been achieved, (2) describe the means or methods used in science, and (3) explain how such methods lead to such achievements. Predictive accuracy is one truth-related achievement of science

Robust Tests of Predictive Accuracy

by Elvezio Ronchetti Y , 2004
"... We propose robust counterparts to tests of equal forecast accuracy such as those proposed by Diebold and Mariano (1995) and West (1996). We illustrate the robustness problem and evaluate the size and the power properties of the classical and robust tests under various types of deviations from model ..."
Abstract - Add to MetaCart
We propose robust counterparts to tests of equal forecast accuracy such as those proposed by Diebold and Mariano (1995) and West (1996). We illustrate the robustness problem and evaluate the size and the power properties of the classical and robust tests under various types of deviations from model
Results 1 - 10 of 903,948