2024

May

20-22 May 2024: Short course by Sara Wade on Bayesian Machine Learning

February

16 February 2024: Seminar by Sara Wade on Bayesian Cluster Analysis: An Application to Investigate Neuronal Connectivity Patterns

2023

November

11 December 2023: Seminar by Daniele Durante on Bayesian Nonparametric Stochastic Block Modeling of Criminal Networks

October

23 October 2023: Seminar by Martina Boschi on Mixed additive modelling of global alien species co-invasions of plants and insects

July

10-14 July 2023: Summer school on Mathematical foundations of Quantum Machine Learning
3-7 July 2023: CIME-EMS Summer school on Machine Learning: From Data to Mathematical Understanding

June

07,09 June 2023, Short course on High-Performance Computing with CPU

March

08-29 March 2023, Short course on Geometry of Statistical Models

February

16 February 2023, Seminar by prof. Ernst C. Wit (Università della Svizzera italiana) on Causal regularization at Aula Seminari “1” (Povo0), 14:30-15:30

January

19 January 2023: Lecture by Massimo Fornasier on Sampling theorems of neural networks: from one neuron to deep networks

2022

December

21 November - 2 December 2022, Short course on Robust Statistical Inference for High-Dimensional Data

October

17-21 October 2022, Masterclass on Algebraic Statistics
4-5 October 2022, Short course on Probabilistic Preference Learning with distance-based ranking models

July

11-15 July 2022, Summer School on Causal Inference

May

11-26 May 2022, Seminars at Geometry and Topology for Data Analysis course

April

Set of lectures on Introduction to Bayesian Non Parametrics, Prof. Antonio Canale, 26 April and 26 May 2022.

March

23 March 2022, Seminar by prof. V. Vinciotti (University of Trento), Network inference from high-dimensional data: on covariates, missingness and normality, 14.00-15.00, @ Povo 1, Room A218 and online
Set of lectures on Asymptotics in Statistics, first lecture on 18 March 2022 @ 14.30-17.30
Math4DS-AI-ML Seminar Series, first seminar on 17 March @ 15.30-16.30
Reading course on Optimal transport and applications,first meeting on 16 March @ 9.30-11.30

2021

December

03 December 2021, Seminar by prof. A.N. Vidyashankar (George Mason University), Sharp large deviations in sequential inference, 12.00-13.00, @ Povo 0, Room Seminar -1 and online

November

Short course on Causal Inference. First lecture on 11 November 2021
8-17 November 2021, Masterclass on Tensor decompositions and their applications

October

Short course on Theory of U-Statistics and their applications. First lecture on 22 October 2021.

August

30 August - 3 September 2021, Summer School on Stochastic Processes, Analysis and Semigroups
Agosto-Dicembre 2021, Statistica descrittiva e inferenziale: percorso teorico per l’insegnante della SSSG, un percorso di introduzione alla probabilità e alla Statistica con R per gli insegnanti delle scuole superiori

July

26-30 July 2021, Summer School on Semiparametric Learning

May

Set of lectures on Composite likelihood inference and unbiased estimating equations, first lecture on 25 May 2021 @ 16.30-18.30
Set of lectures on Topological approaches for dimensionality reduction and machine learning methods: a focus on precision medicine, first lecture on 5 May 2021 @ 15.30-17.30

April

Set of lectures on Asymptotics in Statistics, first lecture on 16 April 2021 @ 15.30-18.30

March

Set of lectures on Modelling dynamic networks with differential equations, first lecture on 24 March 2021 @ 16.30-18.30

January

27 January 2021: Hacking day on Reinforcement Learning: the way machines learn

2020

October

Novembre-Dicembre 2020: Scuola Autunnale di Matematica applicata per studenti delle scuole superiori
15-16 October 2020: Hacking day on An introduction to the Malliavin-Stein method
08-09 Ottobre 2020: Hacking day su Una breve introduzione al calcolo di Malliavin (in Italiano)

August

25-26 Agosto e 31 Agosto-04 Settembre 2020: Scuola Estiva di Matematica applicata per studenti delle scuole superiori

July

2,8 July 2020: Short course on git

June

26 June 2020: Hacking day on Statistical Inference for Spherical Functional Autoregressions
25 June 2020: Hacking day on Critical Points, Multiple Testing and Point Source Detection for Cosmological Data

February

21 February 2020: Hacking day on What is Set Optimization, and what you can do with it
12-14 February 2020, Winter School on: Primer on Data Science

2019

December

2 December 2019: Hacking day on Introduction to Optimal Transport II

November

25 November 2019: Hacking day on Introduction to Optimal Transport I

September

Summer School on: Primer on Data Science
6 September 2019: Hacking day on Statistical Data Depth

July

Summer School: Data Science and Epidemic Models, Trento, July 8-12, 2019

June

Set of lectures on Empirical Processes, first lecture on 10 June 2019 9.00-12.00 @ Povo 1, Room A220

May

29,31 May 2019: Hacking day on An Introduction to Bayesian Mixture Models
Set of lectures on Pseudo Likelihoods, first lecture on 21 May 2019 9.30-11.30 @ Povo 1, Room A213

March

Set of lectures on Asymptotics in Statistics, first lecture on 15 March 2019 14.30-18.30 @ Povo 1, Room A223

February

Short course on Stochastic Processes for Actuarial Sciences, first lecture on 11 February 2019 09.00-13.00 @ Povo 1, Room A208 (Deadline for application: 14 December 2018)
5-6 February 2019: Hacking day on An Introduction to Networks

January

28-29 January 2019: Hacking day on Graphical Models
15 January 2019, Seminar by prof. F. Bagagiolo (uniTN), Consensus algorithms for multi-agent systems, 14.30-16.30, @ Povo 1, A209