Arnak Dalalyan : Citation Profile


Are you Arnak Dalalyan?

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.
   Cites by year: 2
   Journals where Arnak Dalalyan has often published
   Relations with other researchers
   Recent citing documents: 10.    Total self citations: 5 (10 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pda587
   Updated: 2024-11-06    RAS profile: 2023-03-16    
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Relations with other researchers


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:

Chen, Mingli (2)

Fan, Jianqing (2)

Bolte, Jérôme (1)

Johansen, Adam (1)

GADAT, Sébastien (1)

Cites to:

Robin, Jean-Marc (10)

Postel-Vinay, Fabien (7)

Benabou, Roland (4)

jolivet, gregory (3)

Aghion, Philippe (3)

Caroli, Eve (3)

Garcia-Penalosa, Cecilia (2)

Manovskii, Iourii (2)

Kircher, Philipp (2)

Dickens, Richard (2)

Saez, Emmanuel (2)

Main data


Where Arnak Dalalyan has published?


Journals with more than one article published# docs
Statistical Inference for Stochastic Processes2

Working Papers Series with more than one paper published# docs
Working Papers / Center for Research in Economics and Statistics10

Recent works citing Arnak Dalalyan (2024 and 2023)


YearTitle of citing document
2024Swing 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

2023Hybrid 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

2023Statistical 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

2024Quasi?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

2024Smoothing 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

2024Swarm 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

2023Group 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

2023Optimising 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

2023Stochastic 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

Works by Arnak Dalalyan:


YearTitleTypeCited
2017Theoretical guarantees for approximate sampling from smooth and log-concave densities In: Journal of the Royal Statistical Society Series B.
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article16
2014Theoretical guarantees for approximate sampling from smooth and log-concave densities.(2014) In: Working Papers.
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This paper has nother version. Agregated cites: 16
paper
2004On second order minimax estimation of invariant density for ergodic diffusion In: Statistics & Risk Modeling.
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article0
2012Minimax Testing of a Composite null Hypothesis Defined via a Quadratic Functional in the Model of regression In: Working Papers.
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paper0
2012Statistical Inference in Compound Functional Models In: Working Papers.
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paper1
2013Curve registration by Nonparametric goodness-of-fit Testing In: Working Papers.
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paper2
2013Minimax Rates in Permutation Estimation for Feature Matching In: Working Papers.
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paper0
2014On the Prediction Performance of the Lasso In: Working Papers.
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paper13
2017On the prediction performance of the Lasso.(2017) In: Post-Print.
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This paper has nother version. Agregated cites: 13
paper
2017Estimating linear functionals of a sparse family of Poisson means Price Discrimination In: Working Papers.
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paper0
2017User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient In: Working Papers.
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paper7
2019User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.(2019) In: Stochastic Processes and their Applications.
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This paper has nother version. Agregated cites: 7
article
2017Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent In: Working Papers.
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paper4
2017Optimal Kullback-Leibler Aggregation in Mixture Estimation by Maximum Likelihood In: Working Papers.
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paper0
2018Estimating linear functionals of a sparse family of Poisson means In: Statistical Inference for Stochastic Processes.
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article0
2003Asymptotically Efficient Estimation of the Derivative of the Invariant Density In: Statistical Inference for Stochastic Processes.
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article2

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