Skip to main navigation
Skip to search
Skip to main content
University of Haifa Home
Update your profile
Home
Researchers
Research units
Research output
Search by expertise, name or affiliation
Assortment Planning with Nested Preferences: Dynamic Programming with Distributions as States?
Danny Segev
Department of Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Assortment Planning with Nested Preferences: Dynamic Programming with Distributions as States?'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Dynamic Programming
100%
Assortment Planning
100%
Preference Dynamics
100%
Inventory Level
66%
Preference List
66%
Optimal Inventory
66%
Opers
33%
Real-world Application
33%
Planning Problem
33%
Approximation Error
33%
Distributional Hypothesis
33%
Technical Perspective
33%
Approximate Dynamic Programming
33%
Dynamic Assortment Optimization
33%
Capacitated
33%
Conceptual View
33%
State Description
33%
Algorithmic Tools
33%
Approximate Distribution
33%
Mathematics
Approximates
100%
Optimality
50%
Approximability
50%
Approximation Error
50%
Distributional Assumption
50%
Generality
50%
Real Life
50%
Computer Science
Dynamic Programming
100%
Inventory Level
66%
Preference List
66%
Approximation (Algorithm)
33%
Dynamic Program
33%
State Description
33%