This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a Concordia University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $120,000
Computational and statistical methods for loss models
NSERC · 2017 · Principal investigator
- $185,400
Computational and statistical methods for loss models
NSERC · 2017 · Principal investigator
- $105,000
Mathematical and Statistical Methods for Insurance and Credit Risk Management
NSERC · 2012 · Principal investigator
Computational and statistical methods for loss models
Principal investigators: Garrido, Jose
Computational and statistical methods for loss models
Principal investigators: Garrido, Jose
Keywords: Bayesian Credibility Theory; Computational Statistics for Insurance Data; Dependent Risk Models; General Risk Measures; Hidden Markov Chain Models in Insurance; Loss Models; MCMC Methods in Insurance Data Analysis; Regularization Methods for GLMs
Mathematical and Statistical Methods for Insurance and Credit Risk Management
Principal investigators: Garrido, Jose
On risk theory and its applications
Principal investigators: Garrido, Jose
Server upgrade for statistics and actuarial sciences
Principal investigators: Chaubey, Yogendra
General surplus models in risk theory
Principal investigators: Garrido, Jose
Work station upgrade for statistics and actuarial mathematics
Principal investigators: Chaubey, Yogendra
Workstation upgrade and peripherals for statistics and actuarial science
Principal investigators: Chaubey, Yogendra
Stochastic control of risk reserve processes
Principal investigators: Garrido, Jose
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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