A New Look at the Fama-French-Model: Evidence Based on Expected Returns

2012 ◽  
Author(s):  
Matthias Xaver Hanauer ◽  
Christoph Jäckel ◽  
Christoph Kaserer
Keyword(s):  
Expected Returns ◽  
Evidence Based ◽  
Model Evidence ◽  
French Model ◽  
New Look

scholarly journals New look Evidence-Based Nursing

2010 ◽  
Vol 13 (1) ◽  
pp. 2-2
Author(s):  
J. Solomon
Keyword(s):  
Evidence Based ◽  
Evidence Based Nursing ◽  
New Look

scholarly journals Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 890
Author(s):  
Sergey Oladyshkin ◽  
Farid Mohammadi ◽  
Ilja Kroeker ◽  
Wolfgang Nowak
Keyword(s):  
Bayesian Inference ◽  
Active Learning ◽  
Gaussian Process ◽  
Relative Entropy ◽  
Bayesian Model ◽  
Information Gain ◽  
Measurement Data ◽  
Superior Performance ◽  
Evidence Based ◽  
Model Evidence

Gaussian process emulators (GPE) are a machine learning approach that replicates computational demanding models using training runs of that model. Constructing such a surrogate is very challenging and, in the context of Bayesian inference, the training runs should be well invested. The current paper offers a fully Bayesian view on GPEs for Bayesian inference accompanied by Bayesian active learning (BAL). We introduce three BAL strategies that adaptively identify training sets for the GPE using information-theoretic arguments. The first strategy relies on Bayesian model evidence that indicates the GPE’s quality of matching the measurement data, the second strategy is based on relative entropy that indicates the relative information gain for the GPE, and the third is founded on information entropy that indicates the missing information in the GPE. We illustrate the performance of our three strategies using analytical- and carbon-dioxide benchmarks. The paper shows evidence of convergence against a reference solution and demonstrates quantification of post-calibration uncertainty by comparing the introduced three strategies. We conclude that Bayesian model evidence-based and relative entropy-based strategies outperform the entropy-based strategy because the latter can be misleading during the BAL. The relative entropy-based strategy demonstrates superior performance to the Bayesian model evidence-based strategy.

New look Evidence-Based Nursing

2010 ◽  
Vol 14 (1) ◽  
pp. 1-1
Author(s):  
A. Twycross
Keyword(s):  
Evidence Based ◽  
Evidence Based Nursing ◽  
New Look

The Risk-Need-Responsivity model: evidence diversity and integrative theory

2017 ◽  
Author(s):  
Martine Herzog-Evans
Keyword(s):  
Theoretical Model ◽  
Evidence Based ◽  
Effective Practice ◽  
Theoretical Account ◽  
Integrative Theory ◽  
Risk Need Responsivity ◽  
Model Evidence ◽  
Good Lives

This chapter provides a theoretical account of several models of evidence-based supervision skills and practices, including the Risk-Need-Responsivity (RNR), desistance and Good Lives models. The chapter explores the models’ principles by engaging extensively with the key conflicts, debates, attacks and counter-attacks that have characterised exchanges between key proponents of the models. The objective of the chapter is to explore how the unifying themes that underpin the models (and other legal models) can be integrated into an overarching theoretical model of effective practice.

The Clinical Scholar Model: Evidence-Based Practice at the Bedside

2009 ◽  
Vol 44 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Cynthia Honess ◽  
Paulette Gallant ◽  
Kathleen Keane
Keyword(s):  
Evidence Based Practice ◽  
Evidence Based ◽  
Model Evidence

Is analysis of pregabalin outcomes by surgical pain model evidence based?

Pain ◽  
2016 ◽  
Vol 157 (2) ◽  
pp. 504-505 ◽  
Author(s):  
Brett Doleman ◽  
Jonathan N. Lund ◽  
John P. Williams
Keyword(s):  
Evidence Based ◽  
Pain Model ◽  
Surgical Pain ◽  
Model Evidence

scholarly journals New look Evidence-Based Nursing

2010 ◽  
Vol 13 (1) ◽  
pp. 2-2
Author(s):  
J. Solomon
Keyword(s):  
Evidence Based ◽  
Evidence Based Nursing ◽  
New Look
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