51 citations · 134 across the 17 of their papers we have counts for
17 papers
BlackJAX: Composable Bayesian inference in JAX
Alberto Cabezas, Adrien Corenflos, Junpeng Lao +19
BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation. It is designed for ease of use, speed, and modularity by tak…
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu, Martin Lysy
Estimating the parameters of ordinary differential equations (ODEs) is of fundamental importance in many scientific applications. While ODEs are typically approximated with determi…
Functional Connectivity: Continuous-Time Latent Factor Models for Neural Spike Trains
Meixi Chen, Martin Lysy, David Moorman +1
Modelling the dynamics of interactions in a neuronal ensemble is an important problem in functional connectivity research. One popular framework is latent factor models (LFMs), whi…
A Multivariate Point Process Model for Simultaneously Recorded Neural Spike Trains
Reza Ramezan, Meixi Chen, Martin Lysy +1
The current state-of-the-art in neurophysiological data collection allows for simultaneous recording of tens to hundreds of neurons, for which point processes are an appropriate st…
Multimodel Bayesian Analysis of Load Duration Effects in Lumber Reliability
Yunfeng Yang, Martin Lysy, Samuel W. K. Wong
This paper evaluates the reliability of lumber, accounting for the duration-of-load (DOL) effect under different load profiles based on a multimodel Bayesian approach. Three indivi…
Fast and Scalable Inference for Spatial Extreme Value Models
Meixi Chen, Reza Ramezan, Martin Lysy
The generalized extreme value (GEV) distribution is a popular model for analyzing and forecasting extreme weather data. To increase prediction accuracy, spatial information is ofte…
Measurement Error Correction in Particle Tracking Microrheology
Yun Ling, Martin Lysy, Ian Seim +4
In diverse biological applications, particle tracking of passive microscopic species has become the experimental measurement of choice -- when either the materials are of limited v…
Evidence that self-similar microrheology of highly entangled polymeric solutions scales robustly with, and is tunable by, polymer concentration
Ian Seim, Jeremy A. Cribb, Jay M. Newby +4
We report observations of a remarkable scaling behavior with respect to concentration in the passive microbead rheology of two highly entangled polymeric solutions, polyethylene ox…
A Convergence Diagnostic for Bayesian Clustering
Masoud Asgharian, Martin Lysy, Vahid Partovi Nia
In many applications of Bayesian clustering, posterior sampling on the discrete state space of cluster allocations is achieved via Markov chain Monte Carlo (MCMC) techniques. As it…
Robust and Efficient Parametric Spectral Estimation in Atomic Force Microscopy
Bryan Yates, Aleksander Labuda, Martin Lysy
An atomic force microscope (AFM) is capable of producing ultra-high resolution measurements of nanoscopic objects and forces. It is an indispensable tool for various scientific dis…
Calibration of higher eigenmodes of cantilevers
Aleksander Labuda, Marta Kocun, Tim Walsh +5
A method is presented for calibrating the higher eigenmodes (resonance modes) of atomic force microscopy cantilevers that can be performed prior to any tip-sample interaction. The…
Maximum Likelihood Estimation for Single Particle, Passive Microrheology Data with Drift
John W. R. Mellnik, Martin Lysy, Paula A. Vasquez +5
Volume limitations and low yield thresholds of biological fluids have led to widespread use of passive microparticle rheology. The mean-squared-displacement (MSD) statistics of bea…
A Heteroscedastic Accelerated Failure Time Model for Survival Analysis
Yifan Wang, Tian You, Martin Lysy
Nonparametric and semiparametric methods are commonly used in survival analysis to mitigate the bias due to model misspecification. However, such methods often cannot estimate uppe…
Model comparison and assessment for single particle tracking in biological fluids
Martin Lysy, Natesh S. Pillai, David B. Hill +4
State-of-the-art techniques in passive particle-tracking microscopy provide high-resolution path trajectories of diverse foreign particles in biological fluids. For particles on th…
Functional derivatives applied to error propagation of uncertainties in topography to large-aperture scintillometer-derived heat fluxes
Matthew A. Gruber, Gilberto J. Fochesatto, Oscar K. Hartogensis +1
Scintillometer measurements allow for estimations of the refractive index structure parameter over large areas in the atmospheric surface layer. Turbulent fluxes of heat an…
Statistical Inference for Stochastic Differential Equations with Memory
Martin Lysy, Natesh S. Pillai
In this paper we construct a framework for doing statistical inference for discretely observed stochastic differential equations (SDEs) where the driving noise has 'memory'. Classi…
Shrinkage Estimation in Multilevel Normal Models
Carl N. Morris, Martin Lysy
This review traces the evolution of theory that started when Charles Stein in 1955 [In Proc. 3rd Berkeley Sympos. Math. Statist. Probab. I (1956) 197--206, Univ. California Press]…