Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Sujit Ghosh"'
Autor:
Lu Lu, Sujit Ghosh
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1135 (2024)
Conditional copulas are useful tools for modeling the dependence between multiple response variables that may vary with a given set of predictor variables. Conditional dependence measures such as conditional Kendall’s tau and Spearman’s rho that
Externí odkaz:
https://doaj.org/article/0f42b6a1e99b440a8c92bdcb13634fe9
Publikováno v:
Stats, Vol 5, Iss 4, Pp 1195-1211 (2022)
In this paper, we investigate a validation process in order to assess the predictive capabilities of a single degree-of-freedom oscillator. Model validation is understood here as the process of determining the accuracy with which a model can predict
Externí odkaz:
https://doaj.org/article/52bc7b11065c4525918f64309ef3c7a9
Autor:
Lu Lu, Sujit Ghosh
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4383 (2023)
In the fields of finance, insurance, system reliability, etc., it is often of interest to measure the dependence among variables by modeling a multivariate distribution using a copula. The copula models with parametric assumptions are easy to estimat
Externí odkaz:
https://doaj.org/article/42516df409e640b889421ea25183bd27
Publikováno v:
Beilstein Journal of Organic Chemistry, Vol 13, Iss 1, Pp 552-557 (2017)
The synthesis of propargylamines via A3 coupling mostly under metal-catalyzed procedures is well known. This work invented an unprecedented effect of salicylaldehyde, one of the A3 coupling partners, which could lead to the formation of propargylamin
Externí odkaz:
https://doaj.org/article/4fc9fa58b8df432eb3de21db63b418a4
Autor:
Ioana Vlad, VP Paily, Rajeev Sadanandan, Françoise Cluzeau, M Beena, Rajasekharan Nair, Emma Newbatt, Sujit Ghosh, K Sandeep, Kalipso Chalkidou
Publikováno v:
F1000Research, Vol 5 (2016)
Background: The implementation of maternal health guidelines remains unsatisfactory, even for simple, well established interventions. In settings where most births occur in health facilities, as is the case in Kerala, India, preventing maternal morta
Externí odkaz:
https://doaj.org/article/67cdb30c4e854d29803a6c8815b40cd6
Publikováno v:
Applied Economics. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::463d33a9725bf3074bebab49ce8350ea
https://doi.org/10.1080/00036846.2022.2128294
https://doi.org/10.1080/00036846.2022.2128294
Publikováno v:
The Journal of The Textile Institute. 114:289-302
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f8d1cc147d209f578e110510f85cef
https://doi.org/10.1080/00405000.2022.2029277
https://doi.org/10.1080/00405000.2022.2029277
Autor:
Dasom Lee, Sujit Ghosh
Publikováno v:
Journal of Statistical Theory and Practice. 17
In many clinical trials, patient outcomes are often binary-valued which are measured asynchronously over time across various dose levels. To account for autocorrelation among such longitudinally observed outcomes, a first-order Markov model for binar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e971d977785fbd383b83dd762fdfc320
https://doi.org/10.1007/s42519-022-00305-4
https://doi.org/10.1007/s42519-022-00305-4
Autor:
K.S. Anantharaju, Ali Anwar, S. Aravindan, Tess Astatkie, Mathew S Baite, Khosro Balilashaki, Himadri Tanaya Behera, Lopamudra Behera, L. Bhanu, Krishna Bharwad, B. Cayalvizhi, Akshita Champaneria, Eduardo Jose Azevedo Correa, Smrutiranjan Das, Tuyelee Das, Diptanu Datta, Zahra Dehghanian, Abhijit Dey, Pushpendra Kumar Dhakad, Neimar de Freitas Duarte, Shubham Dubey, Saraí Esparza-Reynoso, K. Gangadhar, Niharika Ghoghari, Sujit Ghosh, Bisweswar Gorain, Pratishtha Gupta, Khashayar Habibi, S. Harish, Rupak Jena, Priyanka Jha, Jayandra Kumar Johri, Naveen Chandra Joshi, S.R. Joshi, U. Keerthana, Shivani Khatri, Isha Kohli, Praveen Kona, Tulasi Korra, Sumit Kumar, Vipin Kumar, Vijay Kumar, Behanm Asgari Lajayer, P. Kiruthika Lakshmi, Jesús Salvador López-Bucio, José López-Bucio, S. Meenakshi, Debasis Mitra, Abhik Mojumdar, Sunil S. More, Veena S. More, A. Muthu Kumar, Ajay Nair, Samapika Nandy, R. Naveen Kumar, Christiane Abreu Oliveira Paiva, Marcela Claudia Pagano, Devendra Kumar Pandey, P. Panneerselvam, Joginder Singh Panwar, C. Parameswaran, Manoj Parihar, Srijita Paul, Ramón Pelagio-Flores, S.R. Prabhukarthikeyan, S. Raghu, Shalini Rajkumar, Suryansh Rajput, Kirti Rani, Rupa Rani, Archana S. Rao, P.C. Rath, Lopamudra Ray, Kiran K. Reddy, Monire Mones Sardrodi, Preeti Sengupta, Efath Shahnaz, Shilpi Sharma, Deepali Shukla, Piyush Shukla, A.L. Singh, Poonam C. Singh, Prashant Kumar Singh, Bana Sravani, Ashmita Tandon, Stevenson Thabah, Ajit Varma, Ambarish S. Vidyarthi, M.K. Yadav, Manoj K. Yadav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d398057f152b7cb7ef0ab8c61407a57
https://doi.org/10.1016/b978-0-323-85163-3.00038-7
https://doi.org/10.1016/b978-0-323-85163-3.00038-7
Shape restrictions on functional regression coefficients such as non-negativity, monotonicity, convexity or concavity are often available in the form of a prior knowledge or required to maintain a structural consistency in functional regression model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76d3ca7c1028b8da96c281a3bf4ccbe4