Spatial statistics

On systems with an X and Y axis.

Cohousing in Australia Plus other low-cost, low-tedium options for secure habitation somewhere 2021-09-25 – 2022-10-04

Bayesian inverse problems in function space a.k.a. Bayesian calibration, model uncertainty for PDEs and other wibbly, blobby things 2020-10-13 – 2022-09-26

Physical infrastructure 2022-09-24

Innovation Side order of progress studies now I guess 2014-07-27 – 2022-09-24

The interpretation of RV densities as point process intensities and vice versa Point process of observations ↔ observation of a point process 2016-09-13 – 2022-09-24

Gaussian process inference by partial updates 2020-12-03 – 2022-09-22

Posterior Gaussian process samples by updating prior samples Matheron’s other weird trick 2020-12-03 – 2022-09-20

Gaussian process regression And classification. And extensions. 2019-12-03 – 2022-09-20

Neural process regression 2019-12-03 – 2022-09-20

Urbanism Stuff about cities 2014-12-25 – 2022-08-06

Gaussian process regression software And classification. 2019-12-03 – 2022-07-29

Neural learning for spatiotemporal systems 2020-09-16 – 2022-07-28

Simulating Gaussian processes on a lattice 2022-03-17 – 2022-07-26

Astroturf and artificial reefs On the sometimes-fungibility of status and cash in the realm of cultural cachet 2016-01-13 – 2022-07-03

Real estate economics Rentiers and the future 2022-01-24 – 2022-06-30

Stochastic partial differential equations SDEs taking values in some function space 2021-01-27 – 2022-05-25

Spatial data in R 2021-03-21 – 2022-05-24

GUIs for numerical array data 2015-03-04 – 2022-05-19

Crowd-sourced science 2015-08-10 – 2022-05-17

(Discrete-measure)-valued stochastic processes 2019-10-10 – 2022-05-04

Markov bridge processes Especially Lévy bridges 2019-10-15 – 2022-04-20

Partition-valued random variates 2022-04-01

Measure-valued random variates Including completely random measures and many generalizations 2020-10-16 – 2022-03-30

Simulating Gaussian processes 2022-03-17

Learning Gaussian processes which map functions to functions 2020-12-07 – 2022-02-25

Visualising geospatial data Geographic information systems, or, as we in the trade refer to them, “maps” 2016-07-04 – 2022-02-02

Spatial processes and statistics thereof 2011-07-29 – 2022-01-28

Learning on manifolds Finding the lowest bit of a krazy straw, from the inside 2011-10-21 – 2022-01-26

Convolutional subordinator processes 2021-03-08 – 2021-12-01

Multi-output Gaussian process regression 2020-12-02 – 2021-11-26

t-processes 2021-11-10 – 2021-11-24

Lévy processes 2017-05-29 – 2021-11-17

(Geo)spatial data sets In which I complain about paying a nominal fee for giant rocket robots that scan the earth from space 2021-03-02 – 2021-10-13

The property market is pollution Or: hunting endangered big game in dwindling habitat 2021-05-26 – 2021-09-25

Vector Gaussian processses 2020-12-02 – 2021-08-16

Convolutional stochastic processes Moving averages of noise 2021-03-01 – 2021-08-16

Morphogenesis 2011-01-19 – 2021-07-26

Multi-task ML 2021-07-14

Point process intensities and statistical estimation thereof 2016-08-01 – 2021-07-07

Gaussian processes 2016-08-07 – 2021-06-23

Where next Sydney freaks? 2021-04-11 – 2021-05-26

What is your Sydney housing endgame? 2021-04-11 – 2021-05-26

Deep Gaussian process regression 2021-05-13

Convolutional Gaussian processes 2021-03-01

Stochastic processes on manifolds 2021-03-01

Non-Gaussian Bayesian functional regression 2019-10-10 – 2020-09-16

Statistics of spatio-temporal processes 2020-09-11 – 2020-09-11

Poisson processes 2019-10-14 – 2020-01-29

Spatial point process and their statistics 2016-08-17 – 2019-12-04

Smartypants cities 2014-12-25 – 2019-11-05

Point processes 2016-08-01 – 2019-02-18

Pattern formation 2014-12-23 – 2018-10-09

Linear and least-squares estimation of point processes 2016-09-21 – 2017-05-29