J. Florens

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Specifying statistical models, from parametric to non parametric model,Using Bayesian or Non-Bayesian Approaches

A. F. Smith, J. Florens, M. Mouchart, 1984 .

GENERALIZATION OF GMM TO A CONTINUUM OF MOMENT CONDITIONS

J. Florens, M. Carrasco, 2000, Econometric Theory.

Efficient estimation of general dynamic models with a continuum of moment conditions

J. Florens, E. Ghysels, M. Chernov, 2007 .

Robust frontier estimation from noisy data: A Tikhonov regularization approach

J. Florens, L. Simar, Abdelaati Daouia, 2020 .

Nonparametric frontier estimation: a robust approach

J. Florens, L. Simar, Catherine Cazals, 2002 .

Série Scientifique Scientific Series 2003 s-02 Efficient Estimation of Jump Diffusions and General Dynamic Models with a Continuum of Moment Conditions

J. Florens, E. Ghysels, M. Chernov, 2002 .

Advances in Economics and Econometrics: Inverse Problems and Structural Econometrics: The Example of Instrumental Variables

J. Florens, 2003 .

Semi‐ and Non‐parametric Bayesian Analysis of Duration Models with Dirichlet Priors: A Survey

J. Florens, M. Mouchart, J. Rolin, 1999 .

Functional convergence of quantile-type frontiers with application to parametric approximations

J. Florens, L. Simar, Abdelaati Daouia, 2008 .

Frontier estimation and extreme values theory

J. Florens, L. Simar, Abdelaati Daouia, 2010, 1011.5722.

Regularization of Nonparametric Frontier Estimators

J. Florens, L. Simar, Abdelaati Daouia, 2012 .

Estimation of the solution of an Integral Equation of the Second Kind 1 Marine Carrasco University of Rochester

J. Florens, É. Renault, M. Carrasco, 2003 .

Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization

J. Florens, É. Renault, M. Carrasco, 2003 .

Functional linear regression with functional response

J. Florens, M. Carrasco, D. Benatia, 2017 .

A Note on Noncausality

J. Florens, M. Mouchart, 1982 .

Instrumental Regression in Partially Linear Models

J. Florens, J. Johannes, Sébastien Van Bellegem, 2005 .

Nonparametric Instrumental Regression

J. Florens, É. Renault, Yanqin Fan, 2010 .

Iterative estimation of solutions to noisy nonlinear operator equations in nonparametric instrumental regression

Thorsten Hohage, Jean-Pierre Florens, Enno Mammen, 2013, 1307.6701.

Estimation of the Boundary of a Variable Observed With Symmetric Error

I. Van Keilegom, J. Florens, L. Simar, 2019, Journal of the American Statistical Association.

Parametric approximations of nonparametric frontiers

Léopold Simar, Jean-Pierre Florens, J. Florens, 2005 .

Nonparametric Instrumental Variable Estimation of Binary Response Models with Continuous Endogenous Regressors

J. Florens, S. Centorrino, 2020 .

Efficient GMM Estimation Using the Empirical Characteristic Function

Jean-Pierre Florens, Marine Carrasco, J. Florens, 2002 .

LOCAL IDENTIFICATION IN EMPIRICAL GAMES OF INCOMPLETE INFORMATION

J. Florens, Erwann Sbai, 2010, Econometric Theory.

Simulation of Posterior Distributions in Nonparametric Censored Analysis

Jean-Pierre Florens, J. Florens, J. Rolin, 1998 .

20 POINT PROCESSES

J. Florens, D. Fougère, 1996 .

Pollution Monitoring: Optimal Design of Inspection. An Economic Analysis of the Use of Satellite Information to Deter Oil Pollution

Jean-Pierre Florens, J. Florens, C. Foucher, 1999 .

IDENTIFICATION AND ESTIMATION IN A THIRD-PRICE AUCTION MODEL

J. Florens, Andreea Enache, 2020, Econometric Theory.

Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems

J. Horowitz, J. Florens, I. V. Keilegom, 2016 .

NONPARAMETRIC ESTIMATION OF SEMIPARAMETRIC TRANSFORMATION MODELS

J. Florens, Senay Sokullu, 2016, Econometric Theory.

Additive Nonparametric Instrumental Regressions: A Guide to Implementation

J. Florens, S. Centorrino, F. Fève, 2015 .

The Practice of Non�?Parametric Estimation by Solving Inverse Problems: The Example of Transformation Models

J. Florens, F. Fève, 2010 .

Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects

Costas Meghir, Jean-Pierre Florens, Edward Vytlacil, 2008 .

Conditioning in dynamic models

Michel Mouchart, J. Florens, M. Mouchart, 1985 .

Estimation of the sea state bias in radar altimeter measurements of sea level: Results from a new nonparametric method

Philippe Gaspar, Jean-Pierre Florens, J. Florens, 1998 .

Kernel-based nonlinear canonical analysis and time reversibility

Serge Darolles, Jean-Pierre Florens, Christian Gouriéroux, 2004 .

Estimation of Conditional Ranks and Tests of Exogeneity in Nonparametric Nonseparable Models

I. Van Keilegom, J. Florens, F. Fève, 2018 .

Is Completeness Necessary? Penalized Estimation in Non Identified Linear Models

J. Florens, Andrii Babii, 2017 .

Noncausality and Marginalization of Markov Processes

Michel Mouchart, Jean-Pierre Florens, Jean-Marie Rolin, 1993, Econometric Theory.

Simulation-Based Method of Moments and Efficiency

Jean-Pierre Florens, Marine Carrasco, J. Florens, 2002 .

Duration Models and Point Processes

J. Florens, M. Mouchart, D. Fougère, 2007, SSRN Electronic Journal.

IDENTIFICATION AND ESTIMATION IN A THIRD-PRICE AUCTION MODEL

J. Florens, Andreea Enache, 2014, Econometric Theory.

Approximation of Nash Equilibria in Bayesian Games Olivier ARMANTIER

J. Richard, J. Florens, 2008 .

Is Completeness Necessary? Estimation in Nonidentified Linear Models

J. Florens, Andrii Babii, 2017, 1709.03473.

Nonparametric estimation of accelerated failure-time models with unobservable confounders and random censoring

J. Florens, S. Centorrino, 2021, Electronic Journal of Statistics.

Initial and Sequential Reduction of Bayesian Experiments

J. Florens, M. Mouchart, 1980 .

Encompassing and speciﬁcity

Jean-FranÃ§ois Richard, J. Florens, D. Hendry, 2008 .

Testing for error invariance in separable instrumental variable models

I. Keilegom, J. Florens, Jad Beyhum, 2022, 2208.05344.

Quantile analysis of “hazard-rate” game models

J. Florens, Andreea Enache, 2024, Journal of Econometrics.

Approximation of Bayesian Nash Equilibrium

Jean-Francois Richard, Olivier Armantier, Jean-Pierre Florens, 2008 .

Likelihood Analysis of Linear Models

J. Florens, 1976 .

Nash Equilibrium Approximations in Games of Incomplete Information

Jean-Francois Richard, Olivier Armantier, Jean-Pierre Florens, 1999 .

Specification and inference in linear models

J. Richard, J. Florens, M. Mouchart, 1981 .

Alternative Approaches to Time Series Analysis

E. Parzen, J. Florens, M. Mouchart, 1985 .

Bayesian specification tests

Michel Mouchart, J-P Florens, J. Florens, 1990 .

Scale Economies and Natural Monopoly in the Postal Delivery: Comparison Between Parametric and Non Parametric Specifications

J. Florens, Catherine Cazals, M. D. Rycke, 1996 .

Delivery Costs II: Back to Parametric Models

J. Florens, B. Roy, Catherine Cazals, 2004 .

Instrumental variable estimation of dynamic treatment effects on a duration outcome

I. Keilegom, J. Florens, Jad Beyhum, 2022, 2201.10826.

Testing for error invariance in separable instrumental variable models

I. Keilegom, J. Florens, Jad Beyhum, 2022, 2208.05344.

DFG-SNF Research Group Opening Conference 'Statistical Regularisation'

Guillaume Lecué, J. Florens, J. M. Corcuera, 2008 .

ON THE ASYMPTOTIC EFFICIENCY OF GMM

Jean-Pierre Florens, Marine Carrasco, J. Florens, 2013, Econometric Theory.

Discussion on "Instrumented difference-in-differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small.

I. Van Keilegom, J. Florens, Jad Beyhum, 2022, Biometrics.

Approximate Reductions of Bayesian Experiments

J. Florens, 1983 .

TESTING FOR EMBEDDABILITY BY STATIONARY REVERSIBLE CONTINUOUS-TIME MARKOV PROCESSES

N. Touzi, J. Florens, É. Renault, 1998, Econometric Theory.

A SPECTRAL METHOD FOR DECONVOLVING A DENSITY

J. Florens, M. Carrasco, 2010, Econometric Theory.

Nonparametric instrumental variable derivative estimation

J. Florens, S. Centorrino, J. Racine, 2018 .

Gaussian Processes and Bayesian Moment Estimation

Anna Simoni, Jean-Pierre Florens, J. Florens, 2016, Journal of Business & Economic Statistics.

Bayesian Identification and Partial Identification

J. Florens, Anna Simoni, 2011 .

Empirical Game Theoretic Models: Constrained Equilibrium & Simulation

Jean-Francois Richard, Olivier Armantier, Jean-Pierre Florens, 1998 .

Encompassing and Specificity

D. Hendry, J. Richard, J. Florens, 1996, Econometric Theory.

Revisiting Identification Concepts in Bayesian Analysis

J. Florens, Anna Simoni, 2021, Annals of Economics and Statistics.

Overt and covert paths for sound in the auditory system of mammals

B. Auriol, J. Béard, B. Bibé, 2013, bioRxiv.

Nonparametric Estimation for Regulation Models

J. Florens, Andreea Enache, 2018 .

How many di erent HLA genotypes exist in a population ?

J. Florens, F. Fève, 2010 .

A mathematical model for bone marrow donors' registries and cord blood banks

J. Florens, F. Fève, 2010 .

Matching Models and Optimal Registry for Voluntary Organ Donation Registries 1

J. Florens, F. Fève, 2004 .

Nonparametric Estimation of An Instrumental Regression: A Quasi-Bayesian Approach Based on Regularized Posterior

Anna Simoni, Jean-Pierre Florens, J. Florens, 2012 .

On the Asymptotic Efficiency of GMM ∗ Marine Carrasco † The University of Rochester

J. Florens, 2003 .

Nonparametric Instrumental Regression

J. Florens, É. Renault, Yanqin Fan, 2010 .

Inverse Problems and Structural Econometrics : The Example of Instrumental Variables 1

J. Florens, 2022 .

Regularized Posteriors in Linear Ill‐Posed Inverse Problems

J. Florens, Anna Simoni, 2012 .

INTRODUCTION TO THE SPECIAL ISSUE ON INVERSE PROBLEMS

O. Linton, J. Florens, 2010, Econometric Theory.

Mail Use by Firms

J. Florens, M. D. Rycke, S. Marcy, 2001 .

Frontier estimation in nonparametric location-scale models

Léopold Simar, Jean-Pierre Florens, Ingrid Van Keilegom, 2014 .

Nonparametric frontier estimation from noisy data

Jean-Pierre Florens, Sébastien Van Bellegem, Maik Schwarz, 2010 .

11 Bayesian testing and testing bayesians

Jean-Pierre Florens, Michel Mouchart, J. Florens, 1993 .

UK Letter Mail Demand: A Content Based Time Series Analysis Using Overlapping Market Survey Statistical Techniques

J. Florens, Catherine Cazals, Frank Rodriguez, 2010 .

IDENTIFICATION AND ESTIMATION BY PENALIZATION IN NONPARAMETRIC INSTRUMENTAL REGRESSION

J. Florens, J. Johannes, SÃ©bastien Van Bellegem, 2010, Econometric Theory.

Approximation of Nash equilibria in Bayesian games

Jean-Francois Richard, Olivier Armantier, Jean-Pierre Florens, 2008 .

Uniform Pricing and Postal Market Liberalization

J. Florens, P. Donder, H. Cremer, 2001 .

A Linear-theory for Noncausality

Jean-Pierre Florens, Â Michel Mouchart, J. Florens, 1985 .

CAHIER 29-2001

F. Diebold, N. Shephard, L. Hansen, 2002 .

Sobolev Estimation of Approximate Regressions

J. Florens, M. Ivaldi, Sophie Larribeau, 1996, Econometric Theory.

Bayesian Encompassing Specification Tests of a Parametric Model Against a Non Parametric Alternative

Jean-Francois Richard, Jean-Pierre Florens, J. Richard, 1996 .

Instrumental variables, local instrumental variables and control functions

Jean-Pierre Florens, James J. Heckman, Costas Meghir, 2002 .

Spectral method for deconvolving a density Marine Carrasco University of Montreal marine

J. Florens, M. Carrasco, 2009 .

On two definitions of identification

J. Florens, M. Mouchart, J. Rolin, 1985 .

An Analysis of Some Specific Cost Drivers in the Delivery Activity

J. Florens, B. Roy, Catherine Cazals, 2001 .

Estimation of a Mixture via the Empirical Characteristic Function

J. Florens, M. Carrasco, 2000 .

Are Unobservables Separable?

J. Florens, Andrii Babii, 2017 .

Is Completeness Necessary? Estimation in Nonidentified Linear Models

J. Florens, Andrii Babii, 2017, 1709.03473.

Non parametric analysis of panel data models with endogenous variables

J. Florens, F. Fève, 2014 .

PAPER SERIES Identification of Treatment Effects Using Control Functions in Models with Continuous , Endogenous Treatment and Heterogeneous Effects 15

J. Heckman, J. Florens, E. Vytlacil, 2008 .

Distribution of residuals in the nonparametric IV model with application to separability testing

J. Florens, Andrii Babii, 2017, 1705.01654.

Elements of Bayesian Statistics

Jean-Pierre Florens, Michel Mouchart, Jean-Marie Rolin, 1990 .

Proportional incremental cost probability functions and their frontiers

J. Florens, L. Simar, F. Fève, 2023, Empirical Economics.

ROBUSTIFIED EXPECTED MAXIMUM PRODUCTION FRONTIERS

Léopold Simar, Jean-Pierre Florens, Abdelaati Daouia, 2020, Econometric Theory.

Parametric and Non-Parametric Encompassing Procedures

J. Richard, J. Florens, C. Bontemps, 2008 .

Iterative algorithm for non parametric estimation of the instrumental variables quantiles

J. Florens, F. Fève, 2014 .

Is it Always Optimal to Impose Constraints on Nonparametric Functional Estimators? Some Evidence on the Smoothing Parameter Choice

J. Florens, A. Vanhems, 2008 .

A functional estimation approach to the first-price auction models

J. Florens, Erwann Sbai, Andreea Enache, 2023, Journal of Econometrics.

Instrumental variable estimation in functional linear models

Jean-Pierre Florens, Sébastien Van Bellegem, J. Florens, 2015 .

Asymptotic Normal Inference in Linear Inverse Problems

J. Florens, É. Renault, M. Carrasco, 2014 .

Nonparametric Analysis of Hedge Funds Lifetimes

J. Florens, S. Darolles, G. Simon, 2010 .

Instrumental variable estimation of dynamic treatment effects on a duration outcome

I. Van Keilegom, J. Florens, Jad Beyhum, 2022, Journal of Business & Economic Statistics.

Instrumental variable estimation of dynamic treatment effects on a survival outcome

Ingrid Van Keilegom, Jean-Pierre Florens, Jad Beyhum, 2022 .

Endogeneity and Instrumental Variables in Dynamic Models

J. Florens, G. Simon, 2010 .

A Moment Estimation of the Haplotypes' distribution using Phenotypes'data

J. Florens, F. Fève, 2003 .

Advances in Economics and Econometrics: Inverse Problems and Structural Econometrics: The Example of Instrumental Variables

J. Florens, 2003 .

Non-parametric Models with Instrumental Variables

J. Florens, 2011 .

Bayesian inference in error-in-variables models

Jean-FranÃ§ois Richard, J. Florens, M. Mouchart, 1974 .

A Quantile Approach to the Estimation of First-Price Private Value Auction

J. Florens, Andreea Enache, 2017 .

Dynamic Error-in-Variable Models and Limited Information Analysis

J. Richard, J. Florens, M. Mouchart, 1987 .

Structural time series modeling: a Bayesian approach

Michel Mouchart, J-P Florens, Jean-Francois Richard, 1986 .

Are Unobservables Separable?

J. Florens, Andrii Babii, 2017, Econometric Theory.

Some technical issues in defining causality

Jean-Pierre Florens, J. Florens, 2003 .

Série Scientifique Scientific Series Projection-based Statistical Inference in Linear Structural Models with Possibly Weak Instruments Projection-based Statistical Inference in Linear Structural Models with Possibly Weak Instruments

J. Florens, Jean-Marie Dufour, J. Jasiak, 2022 .

Delivery Offices Cost Frontier: A Robust Non Parametric Approach with Exogenous Variables

Jean-Pierre Florens, Shital Patel, Shital S. Patel, 2008 .

REGULARIZING PRIORS FOR LINEAR INVERSE PROBLEMS

Anna Simoni, Jean-Pierre Florens, J. Florens, 2014, Econometric Theory.

The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for the Postal Sector

J. Florens, Catherine Cazals, Michael Jones, 2011 .

Debiasing Machine Learning Models by Using Weakly Supervised Learning

Renan D. B. Brotto, J. Florens, K. Filho, 2024, ArXiv.

NBER WORKING PAPER SERIES IDENTIFICATION OF TREATMENT EFFECTS USING CONTROL FUNCTIONS IN MODELS WITH CONTINUOUS, ENDOGENOUS TREATMENT AND HETEROGENEOUS EFFECTS

J. Florens, E. Vytlacil, C. Meghir, 2011 .