Essays about: "Markov Chain Monte Carlo"

Showing result 1 - 5 of 53 essays containing the words Markov Chain Monte Carlo.

  1. 1. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty

    University essay from KTH/Matematisk statistik

    Author : Ricky Molén; [2023]
    Keywords : Phylogeny; Bayesian analysis; Markov chain Monte Carlo; Variational inference; Mixture of proposal distributions; Fylogeni; Bayesiansk analys; Markov Chain Monte Carlo; Variationsinferens; Mixturer av förslagsfördelningar;

    Abstract : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. READ MORE

  3. 2. GPU-Based Path Optimization Algorithm in High-Resolution Cost Map with Kinodynamic Constraints : Using Non-Reversible Parallel Tempering

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Daniel Greenberg; [2023]
    Keywords : ;

    Abstract : This thesis introduces a GPU-accelerated algorithm for path planning under kinodynamic constraints, focusing on navigation of flying vehicles within a high-resolution cost map. The algorithm operates by creating dynamically feasible initial paths, and a non-reversible parallel tempering Markov chain Monte Carlo scheme to optimize the paths while adhering to the nonholonomic kinodynamical constraints. READ MORE

  4. 3. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Oskar Fransson; [2023]
    Keywords : Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

    Abstract : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. READ MORE

  5. 4. Analysing Regime-Switching and Cointegration with Hamiltonian Monte Carlo

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Jakob Brandt; [2023]
    Keywords : Time Series Econometrics; Regime-Switching; Cointegration; Markov Chain Monte Carlo; Hamiltonian Monte Carlo;

    Abstract : The statistical analysis of cointegration is crucial for inferring shared stochastic trends between variables and is an important area of Econometrics for analyzing long-term equilibriums in the economy. Bayesian inference of cointegration involves the identification of cointegrating vectors that are determined up to arbitrary linear combinations, for which the Gibbs sampler is often used to simulate draws from the posterior distribution. READ MORE

  6. 5. Dynamic Covariance Modelling Using Generalised Wishart Processes

    University essay from Lunds universitet/Matematisk statistik

    Author : Fredrik Nilsson; [2023]
    Keywords : Covariance matrix; generalised Wishart process; Bayesian inference; Markov chain Monte Carlo; Hamiltonian Monte Carlo; Mathematics and Statistics;

    Abstract : Modern portfolio theory was pioneered by Markowitz who formulated the mean-variance problem, without which any discussion on quantitative approaches to portfolio selection would be incomplete. The framework boils down to finding the expected return $\mu$ and covariance $\Sigma$, after which the solution is proportional to $\Sigma^{-1}\mu$. READ MORE