Results 91 to 100 of about 41,085 (210)
Penalty Strategies in Semiparametric Regression Models
Mathematical and Computational ApplicationsThis study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz +3 moredoaj +1 more sourceTopics in minimax shrinkage estimation
, 2018 The dissertation considers three different topics which pertain to minimax shrinkage estimation:
1) Minimax estimation of a mean vector with variable selection for classes of spherically symmetric distributions: The results of Zhou and Hwang [31] and ...core +1 more sourceEuclid preparation
Astronomy & AstrophysicsWe develop techniques for generating accurate and precise internal covariances for measurements of clustering and weak-lensing angular power spectra. These methods have been designed to produce non-singular and unbiased covariances for Euclid’s large ...Naidoo K., Ruiz-Zapatero J., Tessore N., Joachimi B., Loureiro A., Aghanim N., Altieri B., Amara A., Amendola L., Andreon S., Auricchio N., Baccigalupi C., Bagot D., Baldi M., Bardelli S., Battaglia P., Biviano A., Branchini E., Brescia M., Camera S., Capobianco V., Carbone C., Cardone V. F., Carretero J., Castellano M., Castignani G., Cavuoti S., Chambers K. C., Cimatti A., Colodro-Conde C., Congedo G., Conversi L., Copin Y., Courbin F., Courtois H. M., Da Silva A., Degaudenzi H., De Lucia G., Dubath F., Dupac X., Dusini S., Escoffier S., Farina M., Farinelli R., Farrens S., Faustini F., Ferriol S., Finelli F., Fosalba P., Frailis M., Franceschi E., Fumana M., Galeotta S., George K., Gillis B., Giocoli C., Gracia-Carpio J., Grazian A., Grupp F., Holmes W., Hormuth F., Hornstrup A., Jahnke K., Jhabvala M., Keihänen E., Kermiche S., Kiessling A., Kilbinger M., Kubik B., Kümmel M., Kunz M., Kurki-Suonio H., Le Brun A. M. C., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marcin S., Marggraf O., Martinelli M., Martinet N., Marulli F., Massey R., Medinaceli E., Mei S., Mellier Y., Meneghetti M., Merlin E., Meylan G., Mora A., Moscardini L., Neissner C., Niemi S.-M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W. J., Pettorino V., Pires S., Polenta G., Poncet M., Popa L. A., Raison F., Rebolo R., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Rosset C., Saglia R., Sakr Z., Sánchez A. G., Sapone D., Sartoris B., Schneider P., Schrabback T., Secroun A., Sefusatti E., Seidel G., Seiffert M., Serrano S., Simon P., Sirignano C., Sirri G., Spurio Mancini A., Stanco L., Steinwagner J., Tallada-Crespí P., Tavagnacco D., Taylor A. N., Tereno I., Toft S., Toledo-Moreo R., Torradeflot F., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Verdoes Kleijn G., Veropalumbo A., Wang Y., Weller J., Zamorani G., Zerbi F. M., Zucca E., Allevato V., Ballardini M., Bolzonella M., Bozzo E., Burigana C., Cabanac R., Calabrese M., Cappi A., Di Ferdinando D., Escartin Vigo J. A., Gabarra L., Martín-Fleitas J., Matthew S., Mauri N., Metcalf R. B., Pezzotta A., Pöntinen M., Risso I., Scottez V., Sereno M., Tenti M., Viel M., Wiesmann M., Akrami Y., Andika I. T., Anselmi S., Archidiacono M., Atrio-Barandela F., Balaguera-Antolinez A., Bertacca D., Bethermin M., Blanchard A., Blot L., Borgani S., Brown M. L., Bruton S., Calabro A., Camacho Quevedo B., Caro F., Carvalho C. S., Castro T., Cogato F., Conseil S., Cooray A. R., Davini S., Desprez G., Díaz-Sánchez A., Diaz J. J., Di Domizio S., Diego J. M., Dimauro P., Enia A., Fang Y., Ferrari A. G., Ferreira P. G., Finoguenov A., Fontana A., Franco A., Ganga K., García-Bellido J., Gasparetto T., Gautard V., Gaztanaga E., Giacomini F., Gianotti F., Gozaliasl G., Guidi M., Gutierrez C. M., Hall A., Hernández-Monteagudo C., Hildebrandt H., Hjorth J., Joudaki S., Kajava J. J. E., Kang Y., Kansal V., Karagiannis D., Kiiveri K., Kirkpatrick C. C., Kruk S., Lattanzi M., Legrand L., Lembo M., Lepori F., Leroy G., Lesci G. F., Lesgourgues J., Leuzzi L., Liaudat T. I., Macias-Perez J., Maggio G., Magliocchetti M., Mannucci F., Maoli R., Martins C. J. A. P., Maurin L., Miluzio M., Monaco P., Moretti C., Morgante G., Nadathur S., Navarro-Alsina A., Pagano L., Passalacqua F., Paterson K., Patrizii L., Pisani A., Potter D., Quai S., Radovich M., Rocci P.-F., Sacquegna S., Sahlén M., Sanders D. B., Sarpa E., Schneider A., Sciotti D., Sellentin E., Smith L. C., Tanidis K., Testera G., Teyssier R., Tosi S., Troja A., Tucci M., Valieri C., Venhola A., Vergani D., Verza G., Vielzeuf P., Walton N. A. +281 moredoaj +1 more sourceSystem reliability estimation via shrinkage
Journal of Reliability Science and EngineeringIn a coherent reliability system composed of multiple components configured according to a specific structure function, the distribution of system time to failure, or system lifetime, is often of primary interest. Accurate estimation of system reliability is critical in a wide range of engineering and industrial applications, forming decisions in ...Beidi Qiang, Edsel A Peñaopenaire +2 more sourcesImproved heritability estimation from genome-wide SNPs
, 2012 Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of phenotypic variance in a trait attributable to the additive genetic variation generated by all causal variants.Johnson, Michael R., Balding, DJ, Hemani, G, Hemani, Gibran, Balding, David J., Speed, D, Johnson, MR, Speed, Doug +7 morecore +1 more sourceBayesian shrinkage estimation of high dimensional causal mediation effects in omics studies. [PDF]
Biometrics, 2020 Song Y, Zhou X, Zhang M, Zhao W, Liu Y, Kardia SLR, Roux AVD, Needham BL, Smith JA, Mukherjee B. +9 moreeuropepmc +1 more source
