Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 330 for “"probability distributions"”.
-
Eliciting continuous probability distributions
The process of eliciting a representative probability distribution from a judge is fundamental to decision making under uncertainty. This work summarizes several aspects of eliciting continuous probability distributions. Through experimentation involving 103 judges the method of assessing single …
-
On spherical probability distributions
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1941.
-
Tree-based Methods for Learning Probability Distributions
<p>Learning probability distributions is a fundamental inferential task in statistics but challenging if a data distribution of our interest is complicated and high-dimensional. Addressing this challenging problem is the main topic of this thesis, and mainly discussed herein are two types of new …
-
Implied probability distributions : estimation, testing and applications
… prices point estimates of the risk-neutral probability densities are obtained. The present study is primarily concerned with the estimation of implied riskneutral densities by means of a semi-parametric Edgeworth Series Expansion probability model as an alternative to the widely criticized …
-
Scalable Methodologies for Optimizing Over Probability Distributions
… methodologies for optimizing over the space of probability distributions, where the optimization variable represents a weighted population of potentially infinitely many points. Despite the ubiquity of these distributional optimization problems, there has been a shortage of scalable methods …
-
The relationships between discrete and continuous probability distributions
Though some of the discrete distributions, for example the binomial, hypergeometric, Poisson, are well tabulated, often statisticians use the percentage points of approximating continuous distributions when analysing discrete data. In this thesis, the exact relationships between certain discrete …
-
Structure from Motion Using Optical Flow Probability Distributions
… value can be quantified using an optical flow probability distribution. By using optical flow probability distributions in place of optical flow estimates in a structure from motion algorithm, a better understanding of the noise is developed and a more accurate solution is obtained. Two …
-
Transport and Beyond: Efficient Optimization over Probability Distributions
… problems where decision variables are probability distributions. Can such optimization problems be solved efficiently? This thesis presents two interrelated lines of work in this direction through the common thread of Optimal Transport. A unifying theme is the optimization of joint …
-
A comparison of aggregation methods of subjective probability distributions
… quality of aggregation of multiple subjective probability distributions of future temperatures, using data collected by Abbas, Budescu, Yu and Haggerty (2008), as a function of 4 factors – the elicitation method (Fixed Probability versus Fixed Variable), the aggregation method (combining …
-
Global heat balance model and probability distributions for atmospheric response
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
-
A study of probability distributions of DCT coefficients in JPEG compression
… that DC block DCT coefficients are Gaussian probability distributed and AC block DCT coefficients are Generalized Normal probability distributed. In this investigation, three probability density models for individual modes of non- quantized AC block DCT coefficients are evaluated and are used …
-
Optimization in the space of probability distributions with applications in statistics
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
-
Testing shape restriction properties of probability distributions in a unified way
… of testing structured properties of discrete distributions. Specifically, given sample access to an arbitrary distribution D over [n] and a property P, the goal is to distinguish between ... Building on a result of [9], we develop a general algorithm for this question, which applies to a large …
-
Loaded dice in Monte Carlo : importance sampling in phase space integration and probability distributions for discrepancies
Contains fulltext : 18925.pdf (Publisher’s version ) (Open Access)
-
Some new Laplace-based probability distributions for modeling data with pronounced peaks combined with heavy tails and outliers
… of univariate uniform-Laplace mixture (ULM) distributions, which are well-suited to model these features with great flexibility. Our primary objective here is to address the estimation issues associated with this model. In turn, the ULM distributions can arise as marginal distributions of a …
-
Can we improve the freight network solutions of a large retailer by using probability distributions to model demand?
… a retailer's transportation network by employing probability distributions to model freight demand. The quality of the solutions was assessed in the basis of transportation cost and service level. The research work was based on a large scale LP optimization tool, called Stochastic Flow Analyzer. …
-
Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees
… be a general quantity, applicable to arbitrary probability distributions. It is interpreted in terms of prediction, communication with feedback, source coding with feed forward, control over noisy channels, and other settings. It is also shown to be consistent with Granger's philosophical …
-
Sampling Using Controlled Quantum Walks
We give a new quantum algorithm to sample from probability distributions over graph vertices quadratically faster than the optimal classical algorithm, which uses random walks with stopping rules. Efficient sampling is an important computational task used in simulations based on stochastic …
-
Efficient Monte Carlo Sampling of Lattice Field Theories
… in fermionic Lattice Field Theories and probability distributions of the two-point functions in bosonic Lattice Field Theories are investigated. In the context of four-fermion interactions, a family of discrete Hubbard-Stratonovich sampling schemes are developed to avoid exceptional …
-
Εντοπισμός και γραμμική απόκριση ηλεκτρονίων στο άτακτο πλέγμα
… disordered systems, based on the calculation of probability distributions of variables properly derived from the Green's function of the problem. Such a calculation became feasible when we considered our system to obey a tight binding model with diagonal disorder and furthermore that its lattice …
Page 1 of 17