Éric Marchand

952 total citations
66 papers, 656 citations indexed

About

Éric Marchand is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Éric Marchand has authored 66 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 17 papers in Statistics, Probability and Uncertainty. Recurrent topics in Éric Marchand's work include Statistical Distribution Estimation and Applications (33 papers), Statistical Methods and Inference (32 papers) and Statistical Methods and Bayesian Inference (22 papers). Éric Marchand is often cited by papers focused on Statistical Distribution Estimation and Applications (33 papers), Statistical Methods and Inference (32 papers) and Statistical Methods and Bayesian Inference (22 papers). Éric Marchand collaborates with scholars based in Canada, United States and Iran. Éric Marchand's co-authors include William E. Strawderman, Mohammad Jafari Jozani, Ahmad Parsian, François Perron, T. Pham‐Gia, N. Turkkan, Jafar Ahmadi, Anthony B. Pinkerton, K.L. Lo and Brenda MacGibbon and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and The American Statistician.

In The Last Decade

Éric Marchand

61 papers receiving 621 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Éric Marchand Canada 15 471 163 114 86 49 66 656
Gholamhossein Yari Iran 11 229 0.5× 161 1.0× 67 0.6× 127 1.5× 38 0.8× 41 441
Myoungshic Jhun South Korea 13 368 0.8× 98 0.6× 160 1.4× 44 0.5× 65 1.3× 49 553
Andriëtte Bekker South Africa 10 259 0.5× 103 0.6× 101 0.9× 37 0.4× 15 0.3× 86 403
Davy Paindaveine Belgium 17 716 1.5× 176 1.1× 133 1.2× 93 1.1× 44 0.9× 64 909
Olçay Arslan Türkiye 14 463 1.0× 162 1.0× 179 1.6× 55 0.6× 24 0.5× 60 587
Jayaram Sethuraman United States 6 249 0.5× 66 0.4× 74 0.6× 87 1.0× 15 0.3× 7 403
Mohammad Shakil United States 10 214 0.5× 113 0.7× 76 0.7× 50 0.6× 11 0.2× 43 371
Stephen G. Walker United Kingdom 12 295 0.6× 37 0.2× 188 1.6× 51 0.6× 25 0.5× 38 452
Jiancheng Jiang United States 18 535 1.1× 43 0.3× 153 1.3× 70 0.8× 53 1.1× 49 840

Countries citing papers authored by Éric Marchand

Since Specialization
Citations

This map shows the geographic impact of Éric Marchand's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Éric Marchand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Marchand more than expected).

Fields of papers citing papers by Éric Marchand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Marchand. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Éric Marchand. The network helps show where Éric Marchand may publish in the future.

Co-authorship network of co-authors of Éric Marchand

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Marchand. A scholar is included among the top collaborators of Éric Marchand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éric Marchand. Éric Marchand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Asgharzadeh, A., et al.. (2024). Bayesian Prediction Regions and Density Estimation With Type-2 Censored Data. IEEE Transactions on Reliability. 74(2). 2827–2836.
2.
Marchand, Éric, et al.. (2023). Predictive density estimators with integrated L1 loss. Journal of Multivariate Analysis. 197. 105190–105190. 1 indexed citations
3.
Marchand, Éric, et al.. (2023). Asymptotic tail properties of Poisson mixture distributions. Stat. 12(1). 1 indexed citations
4.
Jones, M. C. & Éric Marchand. (2018). Multivariate discrete distributions via sums and shares. Journal of Multivariate Analysis. 171. 83–93. 11 indexed citations
5.
Marchand, Éric, et al.. (2017). On predictive density estimation for Gamma models with parametric constraints. Journal of Statistical Planning and Inference. 185. 56–68. 9 indexed citations
6.
Marchand, Éric, et al.. (2016). On a better lower bound for the frequentist probability of coverage of Bayesian credible intervals in restricted parameter spaces. Statistical Methodology. 31. 43–57. 2 indexed citations
7.
Kubokawa, Tatsuya, Éric Marchand, & William E. Strawderman. (2015). On predictive density estimation for location families under integrated squared error loss. Journal of Multivariate Analysis. 142. 57–74. 9 indexed citations
8.
Kubokawa, Tatsuya, et al.. (2013). Minimaxity in predictive density estimation with parametric constraints. Journal of Multivariate Analysis. 116. 382–397. 1 indexed citations
9.
Marchand, Éric & William E. Strawderman. (2012). A unified minimax result for restricted parameter spaces. Bernoulli. 18(2). 13 indexed citations
10.
Fourdrinier, Dominique, et al.. (2011). On improved predictive density estimation with parametric constraints. Electronic Journal of Statistics. 5(none). 19 indexed citations
11.
Marchand, Éric, et al.. (2010). On the number of runs for Bernoulli arrays. Journal of Applied Probability. 47(2). 367–377. 2 indexed citations
12.
Fourdrinier, Dominique & Éric Marchand. (2010). On Bayes estimators with uniform priors on spheres and their comparative performance with maximum likelihood estimators for estimating bounded multivariate normal means. Journal of Multivariate Analysis. 101(6). 1390–1399. 4 indexed citations
13.
Pham‐Gia, T., N. Turkkan, & Éric Marchand. (2006). Density of the Ratio of Two Normal Random Variables and Applications. Communication in Statistics- Theory and Methods. 35(9). 1569–1591. 74 indexed citations
14.
Marchand, Éric & William E. Strawderman. (2004). Estimation in restricted parameter spaces: a review. Project Euclid (Cornell University). 21–44. 42 indexed citations
15.
Marchand, Éric & François Perron. (2003). Improving on the mle of a bounded location parameter for spherical distributions. Journal of Multivariate Analysis. 92(2). 227–238. 9 indexed citations
16.
Marchand, Éric. (1997). On moments of beta mixtures,the noncentral beta distribution,and the coefficient of determination. Journal of Statistical Computation and Simulation. 59(2). 161–178. 8 indexed citations
17.
Marchand, Éric. (1996). Computing the moments of a truncarted noncentral chi-square distribution. Journal of Statistical Computation and Simulation. 55(1-2). 23–29. 6 indexed citations
18.
Marchand, Éric. (1996). Computing the moments of a truncated noncentral chi-square distribution. Journal of Statistical Computation and Simulation. 54(4). 387–391. 5 indexed citations
19.
Marchand, Éric. (1995). 79.47 On the number e and increasing runs. The Mathematical Gazette. 79(486). 552–554.
20.
Marchand, Éric. (1994). On the estimation of the mean of a Np(μ,Σ) population with μ′Σ−1 μ known. Statistics & Probability Letters. 21(1). 69–75. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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