Topics in Bayesian machine learning for finance

Topics in Bayesian machine learning for finance

<p>This thesis presents novel Bayesian machine learning-based approaches to selected problems in finance. We investigate and model perceived market inefficiencies with respect to curated financial data sets, then assess market trading and investment strategies, yielding the following three co...

Full description

Bibliographic Details
Main Author:	Spears, T
Other Authors:	Roberts, S
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Finance Machine learning

Similar Items

Network analysis and data science for finance: from traditional markets to decentralised exchanges
by: Miori, D
Published: (2024)

Machine Learning For Dummies /
by: Mueller, John Paul, author 321669, et al.
Published: (2021)

From public health to AI safety: improving machine learning approaches by collecting, selecting, or reducing the need for high-quality data
by: Brauner, J
Published: (2024)

Distributed In-Memory Computing on Binary Memristor-Crossbar for Machine Learning
by: Yu, Hao, et al.
Published: (2017)

Using machine learning to discover candidate localised transcripts from microscopy and genome-wide bioinformatics data
by: Kiourlappou, M
Published: (2023)

Meta-Learning Frameworks for Imaging Applications /
by: Sharma, Ashok, 1977-, editor 319639, et al.
Published: (2023)

Deep Reinforcement Learning in complex environments
by: Nardelli, N
Published: (2021)

Symmetry and generalisation in machine learning
by: Elesedy, B
Published: (2023)

Classification of normal and malignant ventricular arrhythmia ECG rhythms using machine learning tools
by: Prabhakaran, Sahithya
Published: (2024)

Applications of machine learning in 3D printing
by: Goh, Guo Dong, et al.
Published: (2022)

Invited perspectives : how machine learning will change flood risk and impact assessment
by: Wagenaar, Dennis, et al.
Published: (2020)

Privacy preserving data mining based on K-Anonymity L-Diversity and SVM /
by: Koo Nyuk Lin, 1989-, author 645402, et al.
Published: (2017)

Privacy preserving data mining based on K-Anonymity L-Diversity and SVM /
by: Koo Nyuk Lin, 1989-, author 645402
Published: (2017)

Technology-enhanced learning (TEL) of finite state machines (FSMs)
by: Chua, Wen Huat
Published: (2024)

Machine learning-based local collision avoidance for maritime navigation
by: Zou, Yixuan
Published: (2024)

Significance of the chemical environment of an element in nonadiabatic molecular dynamics: feature selection and dimensionality reduction with machine learning
by: How, Wei Bin, et al.
Published: (2022)

Improved extreme learning machine for spectra classification of Covid-19
by: Wang, Changyang
Published: (2024)

Machine-learning-assisted optimization of a single-atom coordination environment for accelerated fenton catalysis
by: Fu, Haoyang, et al.
Published: (2023)

Using machine learning to generate novel hypotheses: increasing optimism about COVID-19 makes people less willing to justify unethical behaviors
by: Sheetal, Abhishek, et al.
Published: (2022)

Finance /
by: Harvey, D. A., author 286339, et al.
Published: (1983)

Weighted-persistent-homology-based machine learning for RNA flexibility analysis
by: Pun, Chi Seng, et al.
Published: (2021)

Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction
by: Liu, Xiang, et al.
Published: (2022)

Machine-learning applications to authoritarian selections: the case of China
by: Lee, Jonghyuk
Published: (2024)

Measuring the security of computer vision systems to adversarial attacks
by: Lovisotto, G
Published: (2022)

An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study
by: Slieker, Roderick C., et al.
Published: (2024)

Prediction of stock price direction with machine learning models
by: Kant Kaw Khin
Published: (2024)

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
by: Belov, Vladimir, et al.
Published: (2024)

A study on dual topic models and bayesian topic model inference
by: Rugeles, Daniel
Published: (2020)

Machine learning discovery of a new cobalt free multi-principal-element alloy with excellent mechanical properties
by: Qiao, Ling, et al.
Published: (2022)

Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT /
by: Swarnalatha, P. (Purushotham), 1977-, editor 656271, et al.
Published: (2023)

Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment
by: Tok, Wei Sheng
Published: (2024)

Environmental and human data-driven model based on machine learning for prediction of human comfort
by: Mao, Fubing, et al.
Published: (2020)

The Internet Guide for Finance /
by: Wiggins, Roy A., iii author 654236, et al.
Published: (2002)

Value investing with machine learning: the South American market
by: Chen, Ye
Published: (2024)

Redesigning plant specialized metabolism with supervised machine learning using publicly available reactome data
by: Lim, Peng Ken, et al.
Published: (2023)

Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine
by: Bai, Zuo, et al.
Published: (2015)

A review on machine learning in 3D printing : applications, potential, and challenges
by: Goh, Guo Dong, et al.
Published: (2020)

A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing
by: Zhan, Zhixin, et al.
Published: (2022)

Three essays on corporate finance
by: Koh, Jee Youn
Published: (2022)

Segmentation and analysis of cement particles in cement paste with deep learning
by: Qian, Hanjie, et al.
Published: (2023)