Results 61 to 70 of about 769,141 (192)

A practical and efficient approach for Bayesian quantum state estimation

New Journal of Physics, 2020
Bayesian inference is a powerful paradigm for quantum state tomography, treating uncertainty in meaningful and informative ways. Yet the numerical challenges associated with sampling from complex probability distributions hampers Bayesian tomography in ...
Joseph M Lukens, Kody J H Law, Ajay Jasra, Pavel Lougovski   +3 more
doaj   +1 more source

Optimal arbitrage under model uncertainty

, 2012
In an equity market model with "Knightian" uncertainty regarding the relative risk and covariance structure of its assets, we characterize in several ways the highest return relative to the market that can be achieved using nonanticipative investment ...
Fernholz, Daniel, Karatzas, Ioannis
core   +1 more source

A Neutrosophic SuperHyper Number Framework for Accurate Statistical Evaluation of Financial Performance in High-Tech Enterprises [PDF]

Neutrosophic Sets and Systems
This paper introduces a new mathematical model that evaluates the financial performance of high-tech enterprises using neutrosophic numbers and superhyper uncertainty theory. Traditional financial analysis often fails to address incomplete, indeterminate,
Yujuan Xie
doaj   +1 more source

Bias in particle tracking acceleration measurement

, 2018
We investigate sources of error in acceleration statistics from Lagrangian Particle Tracking (LPT) data and demonstrate techniques to eliminate or minimise bias errors introduced during processing.
Bodenschatz, Eberhard, Lalescu, Cristian C., Lawson, John M., Wilczek, Michael   +3 more
core   +1 more source

Dynamic optimization method for statistics of dry density of earth-rockfill materials

Yantu gongcheng xuebao
A method for optimizing the compaction quality control index of dams is proposed. Using the collected dry density of field soil samples, the statistics (mean, standard deviation and correlation distance) are determined.
JIA Yufeng 1, 2, FENG Wenquan 1, 2, CHI Shichun 1, 2
doaj   +1 more source

Hot Hands, Streaks and Coin-flips: Numerical Nonsense in the New York Times

, 2015
The existence of "Hot Hands" and "Streaks" in sports and gambling is hotly debated, but there is no uncertainty about the recent batting-average of the New York Times: it is now two-for-two in mangling and misunderstanding elementary concepts in ...
Gusfield, Dan
core  

Max-Min SNR Signal Energy based Spectrum Sensing Algorithms for Cognitive Radio Networks with Noise Variance Uncertainty

, 2013
This paper proposes novel spectrum sensing algorithms for cognitive radio networks. By assuming known transmitter pulse shaping filter, synchronous and asynchronous receiver scenarios have been considered.
Bogale, Tadilo Endeshaw, Vandendorpe, Luc   +1 more
core   +1 more source

Presenting the Probabilities of Different Effect Sizes: Towards a Better Understanding and Communication of Statistical Uncertainty

, 2020
working paper; the views expressed are my own unless otherwise stated, and do not necessarily represent those of the institutes/organizations to which I am/have been ...
openaire   +2 more sources

Improper Priors via Expectation Measures

Stats
In Bayesian statistics, the prior distributions play a key role in the inference, and there are procedures for finding prior distributions. An important problem is that these procedures often lead to improper prior distributions that cannot be normalized
Peter Harremoës
doaj   +1 more source

Safe Approximations of Chance Constraints Using Historical Data [PDF]

This paper proposes a new way to construct uncertainty sets for robust optimization. Our approach uses the available historical data for the uncertain parameters and is based on goodness-of-fit statistics.
Hertog, D. den, Yanikoglu, I.
core   +1 more source