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A restaurant process with cocktail bar and relations to the three-parameter mittag–leffler distribution
by
Möhle, Martin
in
Champagne
/ Customers
/ Markov analysis
/ Martingales
/ Mathematical models
/ Occupancy
/ Original Article
/ Population genetics
/ Probability
/ Process parameters
/ Random numbers
/ Research Papers
/ Restaurants
2021
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A restaurant process with cocktail bar and relations to the three-parameter mittag–leffler distribution
by
Möhle, Martin
in
Champagne
/ Customers
/ Markov analysis
/ Martingales
/ Mathematical models
/ Occupancy
/ Original Article
/ Population genetics
/ Probability
/ Process parameters
/ Random numbers
/ Research Papers
/ Restaurants
2021
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A restaurant process with cocktail bar and relations to the three-parameter mittag–leffler distribution
by
Möhle, Martin
in
Champagne
/ Customers
/ Markov analysis
/ Martingales
/ Mathematical models
/ Occupancy
/ Original Article
/ Population genetics
/ Probability
/ Process parameters
/ Random numbers
/ Research Papers
/ Restaurants
2021
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A restaurant process with cocktail bar and relations to the three-parameter mittag–leffler distribution
Journal Article
A restaurant process with cocktail bar and relations to the three-parameter mittag–leffler distribution
2021
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Overview
In addition to the features of the two-parameter Chinese restaurant process (CRP), the restaurant under consideration has a cocktail bar and hence allows for a wider range of (bar and table) occupancy mechanisms. The model depends on three real parameters,
$\\alpha$
,
$\\theta_1$
, and
$\\theta_2$
, fulfilling certain conditions. Results known for the two-parameter CRP are carried over to this model. We study the number of customers at the cocktail bar, the number of customers at each table, and the number of occupied tables after n customers have entered the restaurant. For
$\\alpha>0$
the number of occupied tables, properly scaled, is asymptotically three-parameter Mittag–Leffler distributed as n tends to infinity. We provide representations for the two- and three-parameter Mittag–Leffler distribution leading to efficient random number generators for these distributions. The proofs draw heavily from methods known for exchangeable random partitions, martingale methods known for generalized Pólya urns, and results known for the two-parameter CRP.
Publisher
Cambridge University Press,Applied Probability Trust
Subject
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