N
Neil Shephard
Researcher at Harvard University
Publications - 219
Citations - 32524
Neil Shephard is an academic researcher from Harvard University. The author has contributed to research in topics: Stochastic volatility & Volatility (finance). The author has an hindex of 68, co-authored 219 publications receiving 30586 citations. Previous affiliations of Neil Shephard include University of Oxford & London School of Economics and Political Science.
Papers
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Book ChapterDOI
Auxiliary Variable Based Particle Filters
Michael K. Pitt,Neil Shephard +1 more
TL;DR: The task will be to use simulation to estimate f(α t |F t ), t = 1, ..., n, where F t is contemporaneously available information.
Journal ArticleDOI
Exact score for time series models in state space form
Siem Jan Koopman,Neil Shephard +1 more
TL;DR: Koopman et al. as mentioned in this paper presented an exact score for time series models in state space form in Biometrika, 79(40, 823-826).
Posted Content
Exact Score for Time Series Models in State Space Form (Now published in Biometrika (1992), 79, 4, pp.283-6.)
Siem Jan Koopman,Neil Shephard +1 more
TL;DR: In this paper, the score vector for a time series model which fits into the Gaussian state space form can be approximated by numerically differentiating the log-likelihood.
Journal ArticleDOI
Local scale models: State space alternative to integrated GARCH processes
TL;DR: In this article, an alternative to autoregressive conditional heteroskedasticity models is proposed, which is called the generalised local scale model (GSM), where the precision is assumed to be a gamma variable which evolves by being scaled by a beta variable.
Journal ArticleDOI
Integer-valued Lévy processes and low latency financial econometrics
TL;DR: In this article, integer-valued Levy processes are used as the basis of price processes for high-frequency econometrics and applied to low latency data for a variety of different types of futures contracts.