Log-Gaussian Cox processes

0:44:39

Peter Diggle: Spatial and Spatio-Temporal Log-Gaussian Cox processes: Re-defining Geostatistics

0:12:16

Joe Watson - Combining citizen science and survey data in a log-Gaussian Cox process framework to...

0:00:31

Gaussian and Log-Gaussian Random Fields: The Effect of Variance on The Spatial Distribution

1:00:41

Multi-task Gaussian process modelling for point process data

0:51:46

Modelling London’s Air Quality Using Spatio-Temporal Gaussian Processes

0:24:32

Highlight Talk: Spatiotemporal point process models of conflicts -- Guido Sanguinetti

0:06:12

Maximum Likelihood, clearly explained!!!

0:03:04

Spatiotemporal Modeling of European Paleoclimate using doubly sparse Gaussian Processes-NeurIPS 2022

0:49:32

Q. Paris (HSE, Moscow). Supervised classification of Cox processes. Sep, 5, 2014

0:08:26

Sensor Placement for Spatial Gaussian Processes with Integral Observations

0:44:26

Aki Vehtari - Gaussian processes for survival analysis

0:20:04

Safe Learning of Regions of Attraction with Gaussian Processes (CDC 2016 presentation)

0:02:20

Spatiotemporal Big Data Gaussian Process Regression

1:27:32

Multi Output Gaussian Processes, Mauricio Alvarez

0:54:42

Peter Diggle: Statistical Modelling Approaches to Disease Mapping

0:40:15

Nick Golding: Malaria Mapping and Gaussian Processes

0:52:15

Ítalo Gomes Gonçalves - Variational Gaussian processes for spatial modeling: the geoML project

0:06:52

What is Box Cox Transformation? - Time Series Analysis in Python

1:17:37

Simo Särkkä: State Space Representation of Gaussian Process

0:01:47

Specifying a Set Number of Points When Simulating a LGCP KPPM: What You Need to Know

0:25:52

Stochastic reconstruction of the spatio-temporal Hawkes Process (Pierfrancesco Alaimo Di Loro)

0:17:19

useR! 2019 Toulouse - Talk Models 2 - Elias Krainski

1:26:55

Neil Lawrence: Latent Variable Models with Gaussian Processes

0:57:41

GPSS2019 - Constraining Gaussian Processes by Variational Fourier Features