LIDAM Events
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The events section provides information about seminars and about conferences and workshops.
On the seminar page, you will find a brief description of the seminars organized by the various entities of LIDAM.
The conference and workshop page gathers scientific events organized by LIDAM members.
How to make sure you do not miss any event ?
There are several ways you can receive information about LIDAM events:
Import the ICS file of one of our entity in your electronic calendar :
- CORE : Link to ICS file
- IRES : Link to the ICS file
- ISBA: Link to ICS file
- LFIN: Link to ICS file
Send an e-mail to the LIDAM communication team to be added to the LIDAM newsletter mailing list
If you join the LIDAM newsletter list, you will receive every Thursday an e-mail with all LIDAM events for the next week.
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Applied Statistics Workshop - Thomas Christ22 Nov22 Nov...
The latest forecasting innovations, showing how data can be transformed into valuable predictive insightsNote: This talk will be given in presence in room C-115. Online access is possible but the quality cannot be guaranteed.
Speaker:
Thomas Christ, Chief data scientist at the company prognostica, Würzburg, Germany.
Summary:
In today’s fast-paced world, data-driven forecasting is crucial for staying competitive. This session explores the latest forecasting innovations, showing how data can be transformed into valuable predictive insights.14h30 Part 1
We’ll begin with the basics: How do advanced methods—from traditional statistics to machine learning and foundation models—reveal hidden patterns in historical data? Using a demand forecasting example, we’ll discuss building accurate, actionable models and addressing practical challenges, like handling intermittent demand, managing data hierarchies, and integrating external sources. Key success factors such as model explainability, user engagement, and adaptability will also be covered to ensure forecasts are both precise and trusted by decision-makers.
15h30 Coffee break
16h00 Part 2
The session’s second part will bring theory to life with interactive examples, like predicting solar flare activity or tracking urban bike traffic. Join us to learn how to turn forecasting theory into practical insights, gaining tools and strategies to stay ahead in this rapidly evolving field.At 17h30, we'll probably go to have a beer at the Crêperie Bretonne. Feel free to join us.
Read moreApplied Statistics Workshop - Thomas Christ22 Nov22 Nov...
The latest forecasting innovations, showing how data can be transformed into valuable predictive insightsNote: This talk will be given in presence in room C-115. Online access is possible but the quality cannot be guaranteed.
Speaker:
Thomas Christ, Chief data scientist at the company prognostica, Würzburg, Germany.
Summary:
In today’s fast-paced world, data-driven forecasting is crucial for staying competitive. This session explores the latest forecasting innovations, showing how data can be transformed into valuable predictive insights.14h30 Part 1
We’ll begin with the basics: How do advanced methods—from traditional statistics to machine learning and foundation models—reveal hidden patterns in historical data? Using a demand forecasting example, we’ll discuss building accurate, actionable models and addressing practical challenges, like handling intermittent demand, managing data hierarchies, and integrating external sources. Key success factors such as model explainability, user engagement, and adaptability will also be covered to ensure forecasts are both precise and trusted by decision-makers.
15h30 Coffee break
16h00 Part 2
The session’s second part will bring theory to life with interactive examples, like predicting solar flare activity or tracking urban bike traffic. Join us to learn how to turn forecasting theory into practical insights, gaining tools and strategies to stay ahead in this rapidly evolving field.At 17h30, we'll probably go to have a beer at the Crêperie Bretonne. Feel free to join us.
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IRES Lunch Seminar - Jing-Rong Zeng26 Nov26 Nov...
Jing-Rong (Rosa) Zeng
(IRES/LIDAM, UCLouvain)
will give a presentation on
TBA
Abstract:
Read more -
CORE Brown Bag - Paul Belleflamme27 Nov27 Nov...
Paul Belleflamme (CORE)
will give a presentation on :
Competition for Prominence
Abstract :
TBA
Read more -
Leuven-Louvain Trade Workshop - Ibai Ostolozaga, University of the Basque Country27 Nov27 Nov...
Ibai Ostolozaga
(University of the Basque Country)
will give a presentation on
Intra-National Trade, Misallocation and Relative Prices
For further information on how to attend, you can contact: serena.chellini@kuleuven.be or c.depierpont@uclouvain.be
Read moreLeuven-Louvain Trade Workshop - Ibai Ostolozaga, University of the Basque Country27 Nov27 Nov...Ibai Ostolozaga
(University of the Basque Country)
will give a presentation on
Intra-National Trade, Misallocation and Relative Prices
For further information on how to attend, you can contact: serena.chellini@kuleuven.be or c.depierpont@uclouvain.be
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UCLouvain Economics Seminar - Jonas von Wangenheim28 Nov28 Nov...
Jonas von Wangenheim
(University of Bonn)
will give a presentation on
TBA
Abstract:
Read more -
Statistics Seminar - Thomas Nagler29 Nov29 Nov...
Thomas Nagler
LMU Munich
An new bootstrap for time series
Abstract :
Resampling methods such as the bootstrap have proven invaluable in statistics and machine learning. However, the applicability of traditional bootstrap methods is limited when dealing with large streams of dependent data, such as time series or spatially correlated observations. In this paper, we propose a novel bootstrap method that is designed to account for data dependencies and can be executed online, making it particularly suitable for real-time applications. This method is based on an autoregressive sequence of increasingly dependent resampling weights. We prove the theoretical validity of the proposed bootstrap scheme under general conditions. We demonstrate the effectiveness of our approach through extensive simulations and show that it provides reliable uncertainty quantification even in the presence of complex data dependencies. Further extensions to nonstationary time series will be discussed.Read moreStatistics Seminar - Thomas Nagler29 Nov29 Nov...Thomas Nagler
LMU Munich
An new bootstrap for time series
Abstract :
Resampling methods such as the bootstrap have proven invaluable in statistics and machine learning. However, the applicability of traditional bootstrap methods is limited when dealing with large streams of dependent data, such as time series or spatially correlated observations. In this paper, we propose a novel bootstrap method that is designed to account for data dependencies and can be executed online, making it particularly suitable for real-time applications. This method is based on an autoregressive sequence of increasingly dependent resampling weights. We prove the theoretical validity of the proposed bootstrap scheme under general conditions. We demonstrate the effectiveness of our approach through extensive simulations and show that it provides reliable uncertainty quantification even in the presence of complex data dependencies. Further extensions to nonstationary time series will be discussed. -
OR Seminar - Hugo Gilbert03 Dec03 Dec...
Hugo Gilbert (Université Paris Dauphine).
Invited by Daniele Catanzarowill give a presentation on :
On the Computation of Strategyproof and Fair Picking Sequences
Abstract :
When allocating indivisible items to agents, it is known that the only strategyproof mechanisms that satisfy a set of rather mild conditions are constrained serial dictatorships (also known as non-interleaving picking sequences): given a fixed order over agents, at each step the designated agent chooses a given number of items (depending on her position in the sequence). With these rules, agents who come earlier in the sequence have a larger choice of items. However, this advantage can be compensated by a higher number of items received by those who come later. How to balance priority in the sequence and number of items received is a nontrivial question.
In this presentation, we use a model parameterized by a mapping from ranks to scores, a social welfare functional, and a distribution over preference profiles. For several meaningful choices of parameters, we show that an optimal sequence can be computed exactly in polynomial time or approximated by resorting to sampling.Joint work with Sylvain Bouveret, Jérôme Lang, and Guillaume Méroué.
Read moreOR Seminar - Hugo Gilbert03 Dec03 Dec...Hugo Gilbert (Université Paris Dauphine).
Invited by Daniele Catanzarowill give a presentation on :
On the Computation of Strategyproof and Fair Picking Sequences
Abstract :
When allocating indivisible items to agents, it is known that the only strategyproof mechanisms that satisfy a set of rather mild conditions are constrained serial dictatorships (also known as non-interleaving picking sequences): given a fixed order over agents, at each step the designated agent chooses a given number of items (depending on her position in the sequence). With these rules, agents who come earlier in the sequence have a larger choice of items. However, this advantage can be compensated by a higher number of items received by those who come later. How to balance priority in the sequence and number of items received is a nontrivial question.
In this presentation, we use a model parameterized by a mapping from ranks to scores, a social welfare functional, and a distribution over preference profiles. For several meaningful choices of parameters, we show that an optimal sequence can be computed exactly in polynomial time or approximated by resorting to sampling.Joint work with Sylvain Bouveret, Jérôme Lang, and Guillaume Méroué.
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CORE Brown Bag - Michele Modugno04 Dec04 Dec...
Michele Modugno (Federal Reserve Bank)
will give a presentation on :
Decoding Equity Market Reactions to Macroeconomic News
Abstract :
We show that the reaction of the equity market to macroeconomic news is rationalized by their propagation into the real economy. We embody all the macro news in an activity and a price news indexes that together explain 34% of the quarterly stock price returns variation. When those indexes capture a stream of favorable macroeconomic surprises, publicly traded firms experience increases in revenues, profitability, financing, and investment activities. This firm-level result culminates in an expansion of the real side of the whole US economy. These results, taken together, show that the expectation of the realization of firms growth is the main driver of the stock prices reaction to macro news.
Read moreCORE Brown Bag - Michele Modugno04 Dec04 Dec...Michele Modugno (Federal Reserve Bank)
will give a presentation on :
Decoding Equity Market Reactions to Macroeconomic News
Abstract :
We show that the reaction of the equity market to macroeconomic news is rationalized by their propagation into the real economy. We embody all the macro news in an activity and a price news indexes that together explain 34% of the quarterly stock price returns variation. When those indexes capture a stream of favorable macroeconomic surprises, publicly traded firms experience increases in revenues, profitability, financing, and investment activities. This firm-level result culminates in an expansion of the real side of the whole US economy. These results, taken together, show that the expectation of the realization of firms growth is the main driver of the stock prices reaction to macro news.
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Leuven - Louvain Trade Workshop - Ying Dai, Aarhus University04 Dec04 Dec...
Yin Dai
(Aarhus University)
will give a presentation on
Quality Complementarity of Imported Inputs and Output Quality
Read more -
LFIN Seminar - Daniele Massacci06 Dec06 Dec...
Daniele Massacci (King's College London)
Invited by Nathan Lassancewill give a presentation on :
TBA
Abstract :
TBA
Read more