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06/08/2023
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Parameter inference for ordinary differential equations (ODEs) is of fun...
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05/17/2023
Functional Connectivity: Continuous-Time Latent Factor Models for Neural Spike Trains
Modelling the dynamics of interactions in a neuronal ensemble is an impo...
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06/20/2022
A Multivariate Point Process Model for Simultaneously Recorded Neural Spike Trains
The current state-of-the-art in neurophysiological data collection allow...
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10/22/2021
Multimodel Bayesian Analysis of Load Duration Effects in Lumber Reliability
This paper evaluates the reliability of lumber, accounting for the durat...
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10/13/2021
Fast Approximate Inference for Spatial Extreme Value Models
The generalized extreme value (GEV) distribution is a popular model for ...
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11/15/2019
Measurement Error Correction in Particle Tracking Microrheology
In diverse biological applications, particle tracking of passive microsc...
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12/07/2017