Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Activities
Research Labs / Equipment
Datasets
Projects
Search by expertise, name or affiliation
Non-Bayesian Post-Model-Selection Estimation as Estimation under Model Misspecification
Nadav Harel,
Tirza Routtenberg
Department of Electrical & Computer Engineering
School of Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Non-Bayesian Post-Model-Selection Estimation as Estimation under Model Misspecification'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Model Selection
100%
Non-Bayesian
100%
Misspecified
100%
Model Misspecification
100%
Selective Inference
66%
Performance Bounds
66%
Maximum Likelihood Estimator
33%
Parameter Estimation
33%
Data-centric
33%
Selection Strategy
33%
Selection Rules
33%
Parametric Model
33%
Mean Squared Error
33%
Oracle
33%
Cramér-Rao Bound
33%
Multiple Candidates
33%
Parameter Estimation Problem
33%
Exact Model
33%
Channel Selection
33%
Misspecified Model
33%
Inference Interpretation
33%
Mathematics
Bayesian
100%
Model Selection
100%
Model Misspecification
100%
Parameter Estimation
66%
Maximum Likelihood Estimator
33%
Lower Type
33%
Assumed Model
33%
Parametric Model
33%
Selection Rule
33%
Squared Error
33%
Misspecified Model
33%
Computer Science
Parameter Estimation
100%
Performance Bound
100%
maximum-likelihood
50%
Selection Process
50%
Parametric Model
50%
Candidate Model
50%
Economics, Econometrics and Finance
Bayesian
100%
Scientific Modelling
100%