Zobrazeno 1 - 10
of 273
pro vyhledávání: '"P. Manolopoulou"'
Rating procedure is crucial in many applied fields (e.g., educational, clinical, emergency). It implies that a rater (e.g., teacher, doctor) rates a subject (e.g., student, doctor) on a rating scale. Given raters variability, several statistical meth
Externí odkaz:
http://arxiv.org/abs/2410.21498
In several observational contexts where different raters evaluate a set of items, it is common to assume that all raters draw their scores from the same underlying distribution. However, a plenty of scientific works have evidenced the relevance of in
Externí odkaz:
http://arxiv.org/abs/2309.15076
Autor:
Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fern, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P.
We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of three years of Dark Energy Survey observati
Externí odkaz:
http://arxiv.org/abs/2304.13570
In this paper, we address the challenge of performing counterfactual inference with observational data via Bayesian nonparametric regression adjustment, with a focus on high-dimensional settings featuring multiple actions and multiple correlated outc
Externí odkaz:
http://arxiv.org/abs/2211.11119
In this extended abstract paper, we address the problem of interpretability and targeted regularization in causal machine learning models. In particular, we focus on the problem of estimating individual causal/treatment effects under observed confoun
Externí odkaz:
http://arxiv.org/abs/2206.10261
Autor:
Giles, P. A., Romer, A. K., Wilkinson, R., Bermeo, A., Turner, D. J., Hilton, M., Upsdell, E. W., Rooney, P. J., Bhargava, S., Ebrahimpour, L., Farahi, A., Mann, R. G., Manolopoulou, M., Mayers, J., Vergara, C., Viana, P. T. P., Collins, C. A., Hollowood, D., Jeltema, T., Miller, C. J., Nichol, R. C., Noorali, R., Splettstoesser, M., Stott, J. P.
In this paper we present the X-ray analysis of SDSS DR8 redMaPPer (SDSSRM) clusters using data products from the $XMM$ Cluster Survey (XCS). In total, 1189 SDSSRM clusters fall within the $XMM$-Newton footprint. This has yielded 456 confirmed detecti
Externí odkaz:
http://arxiv.org/abs/2202.11107
Autor:
Carrasco, Mariflor Vega, Musolesi, Mirco, O'Sullivan, Jason, Prior, Rosie, Manolopoulou, Ioanna
Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs. Product
Externí odkaz:
http://arxiv.org/abs/2111.08078
This paper develops a sparsity-inducing version of Bayesian Causal Forests, a recently proposed nonparametric causal regression model that employs Bayesian Additive Regression Trees and is specifically designed to estimate heterogeneous treatment eff
Externí odkaz:
http://arxiv.org/abs/2102.06573
Autor:
Furnell, Kate E., Collins, Chris A., Kelvin, Lee S., Baldry, Ivan K., James, Phil A., Manolopoulou, Maria, Mann, Robert G., Giles, Paul A., Bermeo, Alberto, Hilton, Matthew, Wilkinson, Reese, Romer, A. Kathy, Vergara, Carlos, Bhargava, Sunayana, Stott, John P., Mayers, Julian, Viana, Pedro
We estimate the Intracluster Light (ICL) component within a sample of 18 clusters detected in XMM Cluster Survey (XCS) data using deep ($\sim$ 26.8 mag) Hyper Suprime Cam Subaru Strategic Program DR1 (HSC-SSP DR1) $i$-band data. We apply a rest-frame
Externí odkaz:
http://arxiv.org/abs/2101.01644
Galaxy clusters are widely used to constrain cosmological parameters through their properties, such as masses, luminosity and temperature distributions. One should take into account all kind of biases that could affect these analyses in order to obta
Externí odkaz:
http://arxiv.org/abs/2010.12671