Method for estimating and modeling additive stochastic processes with linear- and cycle-type trend components, involves providing physical space for author to write and elaborate their ideas, notions, and findings related to pursuit of algorithm for trend estimation by using optimal subset
2023-10-16
专利权人BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期2023-10-16
专利号IN202341069882-A
成果简介NOVELTY - The method involves providing a physical space for an author to write and elaborate their ideas, notions, and findings related to pursuit of an algorithm for trend estimation by using an optimal subset of larger stochastic process. Linear modeling techniques, optimal sampling, harmonizable processes, dynamic linear models, Bayesian estimation and modeling are carried out. A protocol is formulated for estimation of a model among theories of large deviation functional, optimization, and Bayesian inference. USE - Method for estimating and modeling additive stochastic processes with linear- and cycle-type trend components. ADVANTAGE - The method enables modeling additive stochastic processes in an efficient manner.
IPC 分类号B33Y-070/00 ; G06F-030/20 ; G06N-007/00 ; G06Q-030/02 ; H04N-001/405
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19623
专题中国科学院新疆生态与地理研究所
作者单位
BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式
GB/T 7714
RAMACHANDRAN V,CHIDAMBARAM K,NAVEENCHANDRAN P,et al. Method for estimating and modeling additive stochastic processes with linear- and cycle-type trend components, involves providing physical space for author to write and elaborate their ideas, notions, and findings related to pursuit of algorithm for trend estimation by using optimal subset. IN202341069882-A[P]. 2023.
条目包含的文件
条目无相关文件。
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。