John M. Noble
Contact Information Mathematical Statistics
Institute of Applied Mathematics and Mechanics
Faculty of Mathematics, Informatics and Mechanics
University of Warsaw
ul. Banacha 2,
02-097 Warszawa
Poland
email: noble (at) mimuw (dot) edu (dot) pl
I was born in Aberdeen, Scotland, in 1966, but left Scotland in 1988. I obtained my Ph.D. from University of California, Irvine in 1992, where I studied stochastic partial differential equations. I then worked as a lecturer in Cork, Ireland for three years, in Scuola Normale Superiore di Pisa for two years (1996, 1997) on a postdoctoral fellowship, followed by Lisbon and then KTH, Stockholm. In 2000, I joined the mathematical statistics group at the University of Linköping, Sweden, where I started taking an interest in Bayesian networks. In 2012, I left Linköping and joined the Institute of Applied Mathematics, University of Warsaw. My research interests include stochastic partial differential equations, structure learning for graphical models, generalised diffusions and their applications.
Bayesian Networks: An Introduction
Short answers for the exercises at the end of each chapter may be found here.
Recent Publications
- 2022 John M. Noble ‘Lp Solutions for Stochastic Evolution Equation with Nonlinear Potential’ Studia Mathematica 264 (2) pp 181 - 240
- 2018 John M. Noble ‘Effect of Stochastic Perturbations for Front Propagation in Kolmogorov Petrovskii Piscunov Equations’ Stochastic Processes and their Applications 128 no 10 (2018), pp 3531-3557
- 2015 John M. Noble ‘Time Homogeneous Diffusion with Drift and Killing to Meet a Given Marginal’ Stochastic Processes and their Applications 125 (2015), pp. 1500-1540
- 2013 John M. Noble ‘Time Homogeneous Diffusions with a Given Marginal at a Deterministic Time’ Stochastic Processes and Applications vol. 123 (2013) no. 3 pp 675 - 718
- 2012 Timo J.T. Koski and John M. Noble ‘A Review of Bayesian Networks and Structure Learning’ Mathematica Applicanda vol 40 no 1 pp 51 - 103
- 2009 Timo J.T.Koski and John M. Noble ‘Bayesian Networks: An Introduction’ Wiley
Winter Semester (October 2024 - January 2025)
- Multivariate Statistics
Lectures: Mondays 08.30 - 10.00. Tutorials: Mondays 10.15 - 11.45 - Statistics
Tutorial group: Mondays 12.15 - 13.45. - Statistics
Tutorial group: Mondays 14.15 - 15.45. - Office Hour: Mondays 16:00 - 17:00
Spring Semester (February 2025 - June 2025)
- Time Series
Lectures: Tuesdays 08.30 - 10.00, Tutorials: Tuesdays 10.15 - 11.45. - Writing Mathematical Texts in English
Group 1: Tuesdays 12:15 - 13:45
Group 2: Tuesdays 14:15 - 15:45. - Office Hour: Tuesdays 16:00 - 17:00
Witaj w Polsce!
(last updated: 29th August 2024)