The role of TLR2 in infectious diseases caused by mycobacteria: from cell biology to therapeutic target

W Hu, HP Spaink - Biology, 2022 - mdpi.com
Simple Summary Due to the broad functions of Toll-like receptor 2 (TLR2) in innate
immunity, the drive for the development of TLR2-targeted therapeutic treatments has …

Statistical inference for dynamical systems: A review

K McGoff, S Mukherjee, N Pillai - 2015 - projecteuclid.org
The topic of statistical inference for dynamical systems has been studied widely across
several fields. In this survey we focus on methods related to parameter estimation for …

Heterogeneous CD8+ T Cell Migration in the Lymph Node in the Absence of Inflammation Revealed by Quantitative Migration Analysis

EJ Banigan, TH Harris, DA Christian… - PLoS computational …, 2015 - journals.plos.org
The three-dimensional positions of immune cells can be tracked in live tissues precisely as a
function of time using two-photon microscopy. However, standard methods of analysis used …

A novel function of TLR2 and MyD88 in the regulation of leukocyte cell migration behavior during wounding in zebrafish larvae

W Hu, L van Steijn, C Li, FJ Verbeek, L Cao… - Frontiers in cell and …, 2021 - frontiersin.org
Toll-like receptor (TLR) signaling via myeloid differentiation factor 88 protein (MyD88) has
been indicated to be involved in the response to wounding. It remains unknown whether the …

Generalized P {\'o} lya Urn for Time-Varying Pitman-Yor Processes

F Caron, W Neiswanger, F Wood, A Doucet… - Journal of Machine …, 2017 - jmlr.org
This article introduces a class of first-order stationary time-varying Pitman-Yor processes.
Subsuming our construction of time-varying Dirichlet processes presented in (Caron et al …

A tutorial on time-evolving dynamical Bayesian inference

T Stankovski, A Duggento, PVE McClintock… - The European Physical …, 2014 - Springer
In view of the current availability and variety of measured data, there is an increasing
demand for powerful signal processing tools that can cope successfully with the associated …

[PDF][PDF] Bayesian dynamic modelling

M West - Bayesian Inference and Markov Chain Monte Carlo: In …, 2013 - stat.duke.edu
Bayesian time series and forecasting is a very broad field and any attempt at other than a
very selective and personal overview of core and recent areas would be foolhardy. This …

Bayesian modeling and analysis for gradients in spatiotemporal processes

H Quick, S Banerjee, BP Carlin - Biometrics, 2015 - academic.oup.com
Stochastic process models are widely employed for analyzing spatiotemporal datasets in
various scientific disciplines including, but not limited to, environmental monitoring …

Estimation of potential field environments from heterogeneous behaviour of sensing agents

A Kadochnikova, V Kadirkamanathan - IET Signal Processing, 2023 - Wiley Online Library
This paper proposes a novel modelling framework for estimating the global potential field
from trajectories of multiple sensing agents whose perception of the unknown field is subject …

Modeling three-dimensional T-cell motility using clustering and hidden Markov models

E Torkashvand - Statistical Methods in Medical Research, 2023 - journals.sagepub.com
Recent advances in imaging technologies now allow for real-time tracking of fast-moving
immune cells as they search for targets such as pathogens and tumor cells through complex …