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  • Archivi annuali: 2018

    Econometric Models of Climate Change Conference: 29-30 August 2019

    The Center for European Studies (CefES) and the Department of Economics, Management and Statistics (DEMS) at the University of Milan-Bicocca, together with CREATES at Aarhus University, the Department of Economics and Finance (DEF) at the University of Rome-Tor Vergata, Climate Econometrics at the University of Oxford and the Department of Economics at the University of Victoria, are hosting the 4th Conference on “Econometric Models of Climate Change” at the University of Milan-Bicocca (Milan, Italy) on 29-30 August 2019.

    Official site

     

    Reduced-bias inference for regression models with tractable and intractable likelihoods by Ioannis Kosmidis: 24/10/2018 12:00

    Reduced-bias inference for regression models with tractable and intractable likelihoods by Ioannis Kosmidis (), 24/10/2018 h.12:00

    Presenter: Ioannis Kosmidis (Department of Statistics, University of Warwick, Coventry, The Alan Turing Institute, London)

    Affiliation: Department of Statistics, University of Warwick, Coventry, The Alan Turing Institute, London

    Title: Reduced-bias inference for regression models with tractable and intractable likelihoods

    Abstract: This talk focuses on a unified theoretical and algorithmic framework for reducing bias in the estimation of statistical models from a practitioners point of view. The talk will briefly discuss how shortcomings of classical estimators can be overcome via reduction of bias, and provide a few illustrations for well-used statistical models with tractable likelihoods, including regression models with categorical responses and Beta regression. New results will then be presented on the use of bias reduction methods for linear mixed effects models by focusing on the typically small-sample setting of meta-regression in the presence of heterogeneity. The large effect that the bias of the variance components can have on inference motivates the application of the framework to deliver higher-order corrective methods for generalised linear mixed models. The challenges in doing that will be presented along with resolutions stemming from current research.

    The seminar will be held on Wednesday, Wednesday 24th October at 12.00 pm in the Seminar Room of the Department of Economics, Management and Statistics, Building U7, second floor, room 2104 .

    Ricevimento studenti Flavio Gnecchi gennaio-febbraio 2019 e secondo semestre a.a. 2018/2019

    Il ricevimento studenti avrà luogo nei seguenti giorni:
    • merc 9 genn h 14.00
    • mart 15 genn h 15.30
    • mart 22 genn h 14.30
    • mart 29 genn h 14.30
    • mart 5 febbr 14.30
    • merc 13 febbr 14.00
    • mart 19 febbr 14.30
    • giov 28 febbr 14.30

    A datare dall’avvio delle lezioni del secondo semestre dell’a.a. 2018/2019 (ovvero dal 1° marzo 2018), e fino a modifica, il ricevimento studenti avrà luogo tutti i giovedì alle h. 11.45 (ad eccezione dei periodi di interruzione delle lezioni).
    Si prega in ogni di caso di verificare preventivamente eventuali variazioni dovute ad impegni sopravvenuti.

    Data Science and Economics

    Algorithms, Data, and New Research Questions on Prediction and Causality

    Giovedì 28.06 Campus Luigi Einaudi, AULA H2
    Lungo Dora Siena 100A, Torino

    Programma

    9.45-10.45

    Anna Rosso, UNIMI: “Innovative events”

    Matteo Pelagatti, BICOCCA: “Estimating high dimensional stochastic volatility models”

    10.45-11.15

    La formazione: Il panorama corsi di laurea e master

    Coffee Break

    11.30-12.30

    Pietro Battiston, BICOCCA: “Using Big Data to Predict Tax Behavior”

    Francesco Rentocchini, UNIMI: “DEMM meets the Big D research funding at the University of Milan”

    Lunch break

    13.00-13.45

    Brainstorming: Nuovi strumenti o nuove domande di ricerca?

    13.45- 15.15

    Magda Fontana e Fabio Montobbio, UNITO e CATTOLICA: “Bridges over troubled waters: a reassement of interdisciplinarity, novelty, and impact”

    Paolo Brunori, UNIFI: “The Roots of Inequality. Estimating Inequality of Opportunity from Regression Trees”

    Massimiliano Nuccio, UNITO: “Topic Modelling and Evolution of Economics”

    Coffee Break

    15.30-16.30 Conclusioni: idee e opportunità di collaborazione sulla didattica e la ricerca.

    La partecipazione è gratuita e aperta al pubblico previa registrazione gratuita al seguente link: https://tinyurl.com/datascience28giugno

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