scholarly journals Statistical Model Selection Procedure in Data Modeling

2000 ◽  
Vol 2000 (0) ◽  
pp. 125-127 ◽  
Author(s):  
Ritei Shibata
Keyword(s):  
Model Selection ◽  
Statistical Model ◽  
Data Modeling ◽  
Selection Procedure ◽  
Model Selection Procedure ◽  
Statistical Model Selection

scholarly journals Statistical Model Selection for TID Hardness Assurance

2009 ◽  
Vol 56 (6) ◽  
pp. 3354-3360 ◽  
Author(s):  
R. Ladbury ◽  
J. L. Gorelick ◽  
S. S. McClure
Keyword(s):  
Model Selection ◽  
Statistical Model ◽  
Statistical Model Selection ◽  
Selection For

Learning lexicons from spoken utterances based on statistical model selection

2009 ◽  
Author(s):  
Ryo Taguchi ◽  
Naoto Iwahashi ◽  
Takashi Nose ◽  
Kotaro Funakoshi ◽  
Mikio Nakano
Keyword(s):  
Model Selection ◽  
Statistical Model ◽  
Statistical Model Selection

scholarly journals The Lasso as an ℓ1-ball model selection procedure

2011 ◽  
Vol 5 (0) ◽  
pp. 669-687 ◽  
Author(s):  
Pascal Massart ◽  
Caroline Meynet
Keyword(s):  
Model Selection ◽  
Selection Procedure ◽  
Model Selection Procedure

scholarly journals The Suitable Statistical Model Selection for the Wind Speed of Tabriz and Orumiyeh Stations

2021 ◽  
Vol 15 (1) ◽  
pp. 219-232
Author(s):  
Meysam Mohammadpour ◽  
Hossein Bevrani ◽  
Reza Arabi Belaghi ◽  
◽  
◽  
...  
Keyword(s):  
Wind Speed ◽  
Model Selection ◽  
Statistical Model ◽  
Statistical Model Selection ◽  
Selection For

scholarly journals Prior hypotheses or regularization allow inference of diversification histories from extant timetrees

2020 ◽  
Author(s):  
Hélène Morlon ◽  
Florian Hartig ◽  
Stéphane Robin
Keyword(s):  
Model Selection ◽  
Infinite Number ◽  
Selection Procedure ◽  
Data Driven ◽  
Model Selection Procedure ◽  
Extinction Rates ◽  
Extant Species ◽  
Over Time

AbstractPhylogenies of extant species are widely used to study past diversification dynamics1. The most common approach is to formulate a set of candidate models representing evolutionary hypotheses for how and why speciation and extinction rates in a clade changed over time, and compare those models through their probability to have generated the corresponding empirical tree. Recently, Louca & Pennell2 reported the existence of an infinite number of ‘congruent’ models with potentially markedly different diversification dynamics, but equal likelihood, for any empirical tree (see also Lambert & Stadler3). Here we explore the implications of these results, and conclude that they neither undermine the hypothesis-driven model selection procedure widely used in the field nor show that speciation and extinction dynamics cannot be investigated from extant timetrees using a data-driven procedure.

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