Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ramchandra Rimal"'
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-24 (2024)
Abstract The consideration of environmental, social, and governance (ESG) aspects has become an integral part of investment decisions for individual and institutional investors. Most recently, corporate leaders recognized the core value of the ESG fr
Externí odkaz:
https://doaj.org/article/b5c1341a0400476288a2cd0f5a189444
Publikováno v:
Software, Vol 3, Iss 1, Pp 47-61 (2024)
Deep-SDM is a unified layer framework built on TensorFlow/Keras and written in Python 3.12. The framework aligns with the modular engineering principles for the design and development strategy. Transparency, reproducibility, and recombinability are t
Externí odkaz:
https://doaj.org/article/35bbe4e249bb4a5da553bd1dc2c55d7d
Autor:
Nawa Raj Pokhrel, Keshab Raj Dahal, Ramchandra Rimal, Hum Nath Bhandari, Rajendra K.C. Khatri, Binod Rimal, William Edward Hahn
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100385- (2022)
Stock price prediction is a prevalent research field in both industry and academia. There is a pressing demand to develop a prediction model that captures the pattern of the financial activities with high precision to make an informed decision. Stock
Externí odkaz:
https://doaj.org/article/a4baab5455e3486886750fcf7baa7352
Autor:
Hum Nath Bhandari, Binod Rimal, Nawa Raj Pokhrel, Ramchandra Rimal, Keshab R. Dahal, Rajendra K.C. Khatri
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100320- (2022)
The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabilities of the machine opens the door to develop sophisticated methods in predicting stock price. In
Externí odkaz:
https://doaj.org/article/4228a680ec5c485f936bb0c59683faa9
Publikováno v:
2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 83:293-317
The paper considers the Popularity Adjusted Block model (PABM) introduced by Sengupta and Chen (Journal of the Royal Statistical Society Series B, 2018, 80, 365–386). We argue that the main appeal of the PABM is the flexibility of the spectral prop
Autor:
Keshab Dahal, Nawa Raj Pokhrel, Ramchandra Rimal, Hum Nath Bhandari, Rajendra K. C. Khatri, Binod Rimal
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Software Impacts. 14:100396
Autor:
Ramchandra Rimal, Marianna Pensky
Publikováno v:
Mathematical Methods of Statistics. 28:208-227
The present paper studies density deconvolution in the presence of small Berkson errors, in particular, when the variances of the errors tend to zero as the sample size grows. It is known that when the Berkson errors are present, in some cases, the u