作者索引

IF 0.7 Q3 STATISTICS & PROBABILITY

Statistical Inference for Stochastic Processes Pub Date : 2022-12-21 DOI:10.1023/A:1017291302390

A. Prabhu, Ratnakar Jain, Y. G. Naik, A. Prabhu, Abhay Deshpande, A. Sundari, Devam Bhatt, R. Bhagya, Achanta Lakshmi Kalyani, Rajesh Singamaneni, Greeshmanth Penugonda, Amit Juyal, Sachin Sharma, Priya Matta, Anand, Reddi Vivek Vardhan, Katam Jayacharan Kalyan, Boyapalli Sree Kanth Reddy, Anisha Subhasree, J. Princess, Salaja, Aniverthy Amrutesh, Gowtham Bhat, A. Rani, Anvithkumar A Shetty, T. Shankar, P. Ramakanth, A. Sasidhar, G. Kumar, Koneru Yoshitha, Nimmakuri Tulasi, Baby Chithra, Salna Joy, Hafifa Namrin, B. Nikith, Masabattula Teja Nikhil, Mutyala Sai Sri Siddhartha, K. Murali, B. Sai, Shivaani Shachika Thanigaivelu, Shyam Babu, A. Ramaa, Chalapathiraju Kanumuri, Renu Madhavi, Ravi Chandra, Dhanush, K. Sreelakshmi, G. Dora, Susarla Hari, G. S. R. Satyanrayana, Uttam Roy, A. Priyadarshini, Smruti Kalia, S. Das, Ishika Giroti, M. Malhotra, J. Das, K. Harshavardhan, M. Sobhana, Gudapati Satya Dinesh Kumar, Pavithra Pakkiru, Yarramreddy Tejaswi, V. Rohith, T. Avinash, N. Malathi, M. Sathsarani, T. Th

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来源期刊

Statistical Inference for Stochastic Processes STATISTICS & PROBABILITY-

CiteScore

1.30

自引率

12.50%

发文量

期刊介绍： Statistical Inference for Stochastic Processes aims to publish high quality papers devoted to inference in either discrete or continuous time stochastic processes. This includes topics such as ARMA processes, GARCH processes and other time series models, as well as diffusion type processes, point processes, random fields and Markov processes. Papers related to spatial models and empirical processes are also within the scope of the journal. Special focus is placed on methodological advances and sound theoretical results, but submissions that expose potential applications of the developed theory to finance, insurance, economics, biology, physics and engineering are very much encouraged. Officially cited as: Stat Inference Stoch Process