Zobrazeno 1 - 10
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pro vyhledávání: '"Ouimet, P. P."'
Autor:
Ouimet, Frédéric
This paper presents a multivariate normal integral expression for the joint survival function of the cumulated components of any multinomial random vector. This result can be viewed as a multivariate analog of Equation (7) from Carter & Pollard (2004
Externí odkaz:
http://arxiv.org/abs/2406.18509
Group work is commonly adopted in university science laboratories. In this study, we characterize student discourse group roles in inquiry-based science labs. The instructional context for the study was a summer program hosted at a private research u
Externí odkaz:
http://arxiv.org/abs/2405.15746
Autor:
Ouimet, Frédéric
In this short note, explicit formulas are developed for the central and noncentral moments of the multivariate hypergeometric distribution. A numerical implementation is provided in Mathematica for fast evaluations. This work complements the paper by
Externí odkaz:
http://arxiv.org/abs/2404.09118
Publikováno v:
Stat (2024), 13 (2), e706, 6 pp
In 1934, the American statistician Samuel S. Wilks derived remarkable formulas for the joint moments of embedded principal minors of sample covariance matrices in multivariate Gaussian populations, and he used them to compute the moments of sample st
Externí odkaz:
http://arxiv.org/abs/2403.06330
Autor:
Acharya, B., Alexandre, J., Behera, S. C., Benes, P., Bergmann, B., Bertolucci, S., Bevan, A., Brancaccio, R., Branzas, H., Burian, P., Campbell, M., Cecchini, S., Cho, Y. M., de Montigny, M., De Roeck, A., Ellis, J. R., Fairbairn, M., Felea, D., Frank, M., Gould, O., Hays, J., Hirt, A. M., Ho, D. L. -J., Hung, P. Q., Janecek, J., Kalliokoski, M., Lacarrere, D. H., Leroy, C., Levi, G., Margiotta, A., Maselek, R., Maulik, A., Mauri, N., Mavromatos, N. E., Millward, L., Mitsou, V. A., Musumeci, E., Ostrovskiy, I., Ouimet, P. -P., Papavassiliou, J., Patrizii, L., Pavalas, G. E., Pinfold, J. L., Popa, L. A., Popa, V., Pozzato, M., Pospisil, S., Rajantie, A., de Austri, R. Ruiz, Sahnoun, Z., Sakellariadou, M., Sakurai, K., Sarkar, S., Semenoff, G., Shaa, A., Sirri, G., Sliwa, K., Soluk, R., Spurio, M., Staelens, M., Suk, M., Tenti, M., Togo, V., Tuszynski, J. A., Upreti, A., Vento, V., Vives, O.
We report on a search for magnetic monopoles (MMs) produced in ultraperipheral Pb--Pb collisions during Run-1 of the LHC. The beam pipe surrounding the interaction region of the CMS experiment was exposed to 184.07 \textmu b$^{-1}$ of Pb--Pb collisio
Externí odkaz:
http://arxiv.org/abs/2402.15682
The large-sample behavior of non-degenerate multivariate $U$-statistics of arbitrary degree is investigated under the assumption that their kernel depends on parameters that can be estimated consistently. Mild regularity conditions are given which gu
Externí odkaz:
http://arxiv.org/abs/2401.11272
Autor:
Ouimet, Frédéric
In this short note, we present a refined approximation for the log-ratio of the density of the von Mises$(\mu,\kappa)$ distribution (also called the circular normal distribution) to the standard (linear) normal distribution when the concentration par
Externí odkaz:
http://arxiv.org/abs/2312.17202
Autor:
Mitsou, Vasiliki A., de Montigny, Marc, Mukhopadhyay, Abhinab, Ouimet, Pierre-Philippe A., Pinfold, James, Shaa, Ameir, Staelens, Michael
Publikováno v:
J. High Energ. Phys. 2024, 137 (2024)
MoEDAL's Apparatus for Penetrating Particles (MAPP) Experiment is designed to expand the search for new physics at the LHC, significantly extending the physics program of the baseline MoEDAL Experiment. The Phase-1 MAPP detector (MAPP-1) is currently
Externí odkaz:
http://arxiv.org/abs/2311.02185
This paper extends various results related to the Gaussian product inequality (GPI) conjecture to the setting of disjoint principal minors of Wishart random matrices. This includes product-type inequalities for matrix-variate analogs of completely mo
Externí odkaz:
http://arxiv.org/abs/2311.00202
Autor:
Bax, Eric, Ouimet, Frédéric
In this paper, we develop a non-asymptotic local normal approximation for multinomial probabilities. First, we use it to find non-asymptotic total variation bounds between the measures induced by uniformly jittered multinomials and the multivariate n
Externí odkaz:
http://arxiv.org/abs/2309.01882