4
H index
2
i10 index
45
Citations
Centre de Recherche en Économie et Statistique (CREST) | 4 H index 2 i10 index 45 Citations RESEARCH PRODUCTION: 5 Articles 11 Papers RESEARCH ACTIVITY: 16 years (2003 - 2019). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pda587 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Arnak Dalalyan. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
---|---|
Statistical Inference for Stochastic Processes | 2 |
Working Papers Series with more than one paper published | # docs |
---|---|
Working Papers / Center for Research in Economics and Statistics | 10 |
Year | Title of citing document |
---|---|
2024 | Swing Contract Pricing: A Parametric Approach with Adjoint Automatic Differentiation and Neural Networks. (2023). Yeo, Christian ; Pages, Gilles ; Lemaire, Vincent. In: Papers. RePEc:arx:papers:2306.03822. Full description at Econpapers || Download paper |
2023 | Hybrid unadjusted Langevin methods for high-dimensional latent variable models. (2023). Zhu, Dan ; Nibbering, Didier ; Loaiza-Maya, Ruben. In: Papers. RePEc:arx:papers:2306.14445. Full description at Econpapers || Download paper |
2023 | Statistical inference for the population landscape via moment?adjusted stochastic gradients. (2019). Su, Weijie J ; Liang, Tengyuan. In: Journal of the Royal Statistical Society Series B. RePEc:bla:jorssb:v:81:y:2019:i:2:p:431-456. Full description at Econpapers || Download paper |
2024 | Quasi?stationary Monte Carlo and the ScaLE algorithm. (2020). Johansen, Adam ; Fearnhead, Paul ; Pollock, Murray ; Roberts, Gareth O. In: Journal of the Royal Statistical Society Series B. RePEc:bla:jorssb:v:82:y:2020:i:5:p:1167-1221. Full description at Econpapers || Download paper |
2024 | Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. (2024). Arany, Adam ; Ahookhosh, Masoud ; Ghaderi, Susan ; Moreau, Yves ; Patrinos, Panagiotis ; Skupin, Alexander. In: Applied Mathematics and Computation. RePEc:eee:apmaco:v:464:y:2024:i:c:s0096300323005465. Full description at Econpapers || Download paper |
2024 | Swarm gradient dynamics for global optimization: the mean-field limit case. (2024). Villeneuve, Stephane ; Miclo, Laurent ; Bolte, Jerome. In: Post-Print. RePEc:hal:journl:hal-04552722. Full description at Econpapers || Download paper |
2023 | Group sparse recovery via group square-root elastic net and the iterative multivariate thresholding-based algorithm. (2023). Yang, HU ; Xie, Wanling. In: AStA Advances in Statistical Analysis. RePEc:spr:alstar:v:107:y:2023:i:3:d:10.1007_s10182-022-00443-x. Full description at Econpapers || Download paper |
2023 | Optimising portfolio diversification and dimensionality. (2023). Staal, A ; Sabanis, S ; Kroeske, J ; Kalcsics, J ; Gondzio, J ; Garcia, S ; Barkhagen, M. In: Journal of Global Optimization. RePEc:spr:jglopt:v:85:y:2023:i:1:d:10.1007_s10898-022-01202-7. Full description at Econpapers || Download paper |
2023 | Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions. (2023). Gendre, Xavier ; Gadat, Sebastien ; Crespo, Marelys. In: TSE Working Papers. RePEc:tse:wpaper:127747. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
---|---|---|---|
2017 | Theoretical guarantees for approximate sampling from smooth and log-concave densities In: Journal of the Royal Statistical Society Series B. [Full Text][Citation analysis] | article | 16 |
2014 | Theoretical guarantees for approximate sampling from smooth and log-concave densities.(2014) In: Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 16 | paper | |
2004 | On second order minimax estimation of invariant density for ergodic diffusion In: Statistics & Risk Modeling. [Full Text][Citation analysis] | article | 0 |
2012 | Minimax Testing of a Composite null Hypothesis Defined via a Quadratic Functional in the Model of regression In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2012 | Statistical Inference in Compound Functional Models In: Working Papers. [Full Text][Citation analysis] | paper | 1 |
2013 | Curve registration by Nonparametric goodness-of-fit Testing In: Working Papers. [Full Text][Citation analysis] | paper | 2 |
2013 | Minimax Rates in Permutation Estimation for Feature Matching In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2014 | On the Prediction Performance of the Lasso In: Working Papers. [Full Text][Citation analysis] | paper | 13 |
2017 | On the prediction performance of the Lasso.(2017) In: Post-Print. [Citation analysis] This paper has nother version. Agregated cites: 13 | paper | |
2017 | Estimating linear functionals of a sparse family of Poisson means Price Discrimination In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2017 | User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient In: Working Papers. [Full Text][Citation analysis] | paper | 7 |
2019 | User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.(2019) In: Stochastic Processes and their Applications. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 7 | article | |
2017 | Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent In: Working Papers. [Full Text][Citation analysis] | paper | 4 |
2017 | Optimal Kullback-Leibler Aggregation in Mixture Estimation by Maximum Likelihood In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2018 | Estimating linear functionals of a sparse family of Poisson means In: Statistical Inference for Stochastic Processes. [Full Text][Citation analysis] | article | 0 |
2003 | Asymptotically Efficient Estimation of the Derivative of the Invariant Density In: Statistical Inference for Stochastic Processes. [Full Text][Citation analysis] | article | 2 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated November, 3 2024. Contact: CitEc Team