This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a York University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $60,000
Actuarial finance, random walk in random environment, super Brownian motion
NSERC · 2023 · Principal investigator
- $222,000
Actuarial finance, random walk in random environment, super Brownian motion
NSERC · 2017 · Principal investigator
- $210,000
Super brownian motion conditioning finance
NSERC · 2010 · Principal investigator
Actuarial finance, random walk in random environment, super Brownian motion
Principal investigators: Salisbury, Thomas
Keywords: random walk in random environment; percolation for directed random graphs; cash refund annuities; optimal consumption over the lifecycle; epstein-zin and recursive utility; stochastic mortality modeling; conditioned super brownian motion
Actuarial finance, random walk in random environment, super Brownian motion
Principal investigators: Salisbury, Thomas
Super brownian motion conditioning finance
Principal investigators: Salisbury, Thomas
MPrime Network (formerly MITACS) / Réseau MPrime (autrefois MITACS)
Principal investigators: Gupta, Arvind
Super brownian motion conditioning finance
Principal investigators: Salisbury, Thomas
Mathematics of Information Technology and Complex Systems/Les mathématiques des technologies de l'information et des systèmes complexes
Principal investigators: Gupta, Arvind
Mathematical modeling and scientific computing
Principal investigators: Huang, Huaxiong
Conditioned Brownian motion and superprocesses
Principal investigators: Salisbury, Thomas
Conditioned Brownian motion and superprocesses
Principal investigators: Salisbury, Thomas
Capacities, and conditioned brownian motion
Principal investigators: Salisbury, Thomas
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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