Skip to main navigation
Skip to search
Skip to main content
Welcome to DTU Research Database Home
About DTU Orbit
Link opens in a new tab
Search content at Welcome to DTU Research Database
Home
Profiles
Research units
Publications
Activities
Projects
Prizes
Press/Media
Datasets
Joint discrete and continuous matrix distribution modeling
Martin Bladt
,
Clara Brimnes Gardner
*
*
Corresponding author for this work
Statistics and Data Analysis
Department of Applied Mathematics and Computer Science
University of Copenhagen
Research output
:
Contribution to journal
›
Journal article
›
Research
›
peer-review
181
Downloads (Orbit)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Joint discrete and continuous matrix distribution modeling'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Phase Coding
100%
Matrix Distribution
100%
Distribution Modeling
100%
Continuous Matrix
100%
Total Loss
50%
Distribution Class
50%
EM Algorithm
50%
Distribution Parameter
50%
Phase Model
50%
Distribution Estimation
50%
Marginal Distribution
50%
Policyholders
50%
Discrete Phase Model
50%
Statistical Estimation
50%
Bivariate Distribution
50%
Markov Jump Process
50%
Claims Data
50%
Claim Size
50%
Matrix Calculus
50%
Modelling Purpose
50%
Flexible Behavior
50%
Insurance Datasets
50%
Mathematics
Matrix
100%
Marginal Distribution
50%
Type Model
50%
Calculus
50%
Distribution Parameter
50%
Markov Jump Process
50%
Claim Size
50%
Bivariate Distribution
50%
Total Loss
50%
EM Algorithm
50%