Séminaires de sciences de la décision
  • Séminaires passés

Séminaires passés

Date Invité(e) Titre de l'exposé
23 avr. 2025 Samuel Burer An Extended Validity Domain for Constraint Learning
15 avr. 2025 Orla A. Murphy Estimating Extreme Wave Surges in the Presence of Missing Data
26 mars 2025 Jean-François Bégin A general option pricing framework for affine fractionally integrated models
21 mars 2025 Bo Zeng Investigating Two-Stage Robust Optimization and Distributionally Robust Optimization from the Primal Perspective: A Complete and Intuitive Solution Framework
10 mars 2025 Xiaofei Shi A Dynamic Equilibrium Model of Liquidity Risk
21 févr. 2025 Genevera Allen Inference for Interpretable Machine Learning: Feature Importance and Beyond
31 janv. 2025 Pratheepa Jeganathan Robust Loss Reserve Prediction: A Comparative Analysis of Modern Statistical and Machine Learning Methods
24 janv. 2025 Marie Davidian A Generalized Logrank-type Test for Comparison of Treatment Regimes in Sequential Multiple Assignment Randomized Trials
16 janv. 2025 Guillaume A. Pouliot Placebo Tests Done Right
5 déc. 2024 Marie-Pier Côté Biais de sélection et assurance : une structure de prime équitable pour un portefeuille est-elle globalement équitable sur le marché?
22 nov. 2024 Luke Hagar Scalable Bayesian design for business innovation
11 nov. 2024 Sibel Alumur Alev Locating Facilities for Smart and Sustainable Mobility
18 oct. 2024 Bart Van Parys Disciplined Decisions in the Face of Uncertainty and Data
15 oct. 2024 André de Palma Inequality in Discrete Choice Models: Applications in the Mobility Context
11 oct. 2024 Afzal Siddiqui Transmission planning in an imperfectly competitive power sector with environmental externalities
24 sept. 2024 Roberto Renò 0DTE Option Pricing
29 août 2024 Luca Trapin High-dimensional approximate dynamic matrix factor models: Estimation via the Kalman smoother and the EM algorithm
30 avr. 2024 Lucia Sbragia International environmental agreements in the presence of adaptation and self-image
12 avr. 2024 Tim Schittekatte Designing Distribution Network Tariffs Under Increased Residential End-user Electrification: Can the North America Learn Something from Europe?
11 avr. 2024 Michael Grabisch On the design of public debate in social networks
5 avr. 2024 Nicholas Rivers Evaluating a major home energy efficiency retrofit program
15 mars 2024 Daniele Durante Skew-symmetric approximations of posterior distributions
23 févr. 2024 Veronika Ročková Adaptive Bayesian predictive inference
16 févr. 2024 Jim Luedtke Recent Advances in Methods for Solving Stochastic Integer Programming Problems
26 janv. 2024 Trevor Campbell An exploration-agnostic characterization of the ergodicity of parallel tempering
20 déc. 2023 Mario Ghoussoub Equilibria in Centralized Insurance Markets: Monopolistic vs. Competitive Pricing
24 nov. 2023 Leilei Zeng State-dependent Sampling in Observational Cohort Studies
10 nov. 2023 Renyuan Xu Learning to Simulate Tail-risk Scenarios
13 oct. 2023 Serge Darolles Managing Hedge Fund Liquidity Risks
11 oct. 2023 Bahar Yetis Kara Disaster Resilient Cities: An OR Approach to Disaster Management
5 oct. 2023 Afzal S. Siddiqui Strategic Sector Coupling? Market Power in Heat and Power Markets
29 sept. 2023 Ryan Campbell Statistical inference for multivariate extremes via a geometric approach
12 sept. 2023 Lambert De Monte Multivariate extremes – A geometric Bayesian inference approach
19 mai 2023 Merve Bodur Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming
18 mai 2023 Tamer Başar Consensus and Dissensus in Multi-population Multi-agent Systems
16 mai 2023 Jocelyn Martel Institutional Ownership and the Resolution of Financial Distress
24 avr. 2023 Benjamin Shaby Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
14 avr. 2023 Jessica Gronsbell Efficient evaluation of prediction rules in semi-supervised settings under stratified sampling
17 mars 2023 Mohamad Elmasri Predictive inference for travel time on transportation networks
24 févr. 2023 Gah-Yi Ban Personalized Dynamic Pricing with Machine Learning: High Dimensional Features and Heterogeneous Elasticity
17 févr. 2023 Sébastien Laurent Autoregressive conditional betas
8 févr. 2023 Kris Boudt Court Shopping, Pro-Debtor Bias, and Bankruptcy Outcomes
3 févr. 2023 Katya Scheinberg Overview of adaptive stochastic optimization methods.
23 janv. 2023 Philippe Naveau Records Analysis in Climate Attribution
20 janv. 2023 Rosnel Sessinou Precision Least Squares: Estimation and Inference in High-Dimensional Linear Regression Models
6 déc. 2022 Courtney Paquette Stochastic Algorithms in the Large
25 nov. 2022 Rebecca Steorts (Almost) All of Entity Resolution
11 nov. 2022 Roxana Dumitrescu Optimal stopping mean-field games: a linear programming formulation and applications to entry-exit games in electricity markets
2 nov. 2022 Marie Lambert Employee Views of Leveraged Buy-Out Transactions
28 oct. 2022 Derek Bingham Computer Model Emulation Using Deep Gaussian Processes
14 oct. 2022 Frédéric Vrins Optimal and robust combination of forecasts via constrained optimization and shrinkage
10 juin 2022 Leopoldo Catania The Leverage Effect and Propagation
10 mai 2022 Tias Guns Learning and reasoning with constraint solving
10 mai 2022 Emanuele Guidotti Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
28 avr. 2022 Margarida Carvalho Toward social welfare and fairness in kidney exchange programs
23 mars 2022 Nathaniel Stevens Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests
25 févr. 2022 Marco Avella Medina Differentially private inference via noisy optimization
5 nov. 2021 Justin Johnson Kakeu Size Distribution of Firms and Strategic Investments in Large Markets: A Stochastic Mean Field Game Approach
29 oct. 2021 Tiffany Timbers Opinionated practices for teaching reproducibility: motivation, guided instruction and practice
4 oct. 2021 Lucy Gao Selective inference on trees
18 mai 2021 Bethany White, Jastaranpreet Singh Rethinking Introductory Statistics for Life Sciences Programs
6 mai 2021 Sanjiv R. Das, Daniel N. Ostrov Dynamic Optimization for Multi-Goals-Based Wealth Management
7 avr. 2021 Régis Chevanaz When does eco-efficiency rebound or backfire? An analytical model
17 mars 2021 Stephen P. Boyd Convex Optimization
19 févr. 2021 Emily Hector Joint integrative analysis of multiple data sources with correlated vector outcomes
22 janv. 2021 Emanuele Guidotti Asymptotic Expansion Formulas for Diffusion Processes Based on the Perturbation Method
4 déc. 2020 Bruno Feunou Risk-neutral moments based estimation of continuous time jump-diffusion models
27 nov. 2020 Ilze Kalnina High-Frequency Factor Models and Regressions
5 nov. 2020 Joseph DeCarolis Developing an Open Energy Outlook for the United States Using Tools for Energy Model Optimization and Analysis (Temoa)
23 oct. 2020 Madhu Kalimipalli Banking networks, systemic risk, and the credit cycle in emerging markets
16 oct. 2020 Ozlem Ergun Optimizing Post-Disruption Response Operations to Improve Resilience of Critical Infrastructure Systems
9 oct. 2020 Ningyuan Chen The Use of Binary Choice Forests to Model and Estimate Discrete Choices
11 sept. 2020 Stefan Wager Machine Learning for Causal Inference
5 mars 2020 Linda Mhalla Tail risk and style dependence in the fund industry: A multivariate extreme value approach
31 janv. 2020 Ana-Maria Staicu Longitudinal functional regression: tests of significance
9 janv. 2020 Mu Zhu Some statistical applications of generative neural networks
29 nov. 2019 Ahmed Abdulla Life at the (grid edge): Evaluating energy decentralization strategies in California
16 oct. 2019 Keven Bluteau Media and the stock market: Their relationship and abnormal dynamics around earnings announcements
11 oct. 2019 Kris Boudt Optimizing the design of textual indices: Impression management and Sentometrics
10 sept. 2019 Maximilian Schiffer Optimal picking policies for e-commerce warehouses
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    Département de sciences de la décision, HEC Montréal

     

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