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Titan-Apex v9.4 is analyzing data for 'statistical'...
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November Weather in Seattle Washington, United States

This report illustrates the typical weather in Seattle, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
icon http://arxiv.org/abs/1307.7549v2

The early impact histories of meteorite parent bodies

We have developed a statistical framework that uses collisional evolution models, shock physics modeling and scaling laws to determine the range of plausible collisional histories for individual meteo...
icon http://arxiv.org/abs/1702.04690v3

Simple rules for complex decisions

From doctors diagnosing patients to judges setting bail, experts often base their decisions on experience and intuition rather than on statistical models. While understandable, relying on intuition ov...
icon http://arxiv.org/abs/physics/0509024v1

Statistical modelling of tropical cyclone tracks: modelling the a...

We describe results from the third stage of a project to build a statistical model for hurricane tracks. In the first stage we modelled the unconditional mean track. In the second stage we modelled th...
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Department of Psychology | Oklahoma State University

The Department of Psychology offers training in understanding human behavior and statistical and research methods. We promote behavioral science through our undergraduate and graduate training …
icon http://arxiv.org/abs/2010.14777v2

Statistical analysis of the material, geometrical and imperfectio...

Traditional member-based two-step design approaches included in current structural codes for steel structures, as well as more recent system-based direct-design alternatives, require building rigorous...
icon http://arxiv.org/abs/1805.06981v1

Peer-review under review - A statistical study on proposal rankin...

Peer review is the most common mechanism in place for assessing requests for resources in a large variety of scientific disciplines. One of the strongest criticisms to this paradigm is the limited rep...
icon http://arxiv.org/abs/astro-ph/9305033v1

Comparing Direct N-Body Integration with Anisotropic Gaseous Mode...

We compare the results for the dynamical evolution of star clusters derived from anisotropic gaseous models with the data from N-body simulations of isolated and one-component systems, each having mod...
icon http://arxiv.org/abs/2009.13129v1

Statistical Inference on the Cure Time

In population-based cancer survival analysis, the net survival is important for government to assess health care programs. For decades, it is observed that the net survival reaches a plateau after lon...
icon https://www.reddit.com/r/quant/comments/1r96x41/probabilistic_machine_learning_an_introduction_by/

Probabilistic Machine Learning An Introduction by Kevin P. Murphy...

I'm preparing for Quant Research roles and have been finding ESL(Elements of Statistical Learning) rather terse, I'm proficient in probability but not so much in stats, so I looked back at some univer...
icon http://arxiv.org/abs/2011.02867v3

The probabilistic world

Physics is based on probabilities as fundamental entities of a mathematical description. Expectation values of observables are computed according to the classical statistical rule. The overall probabi...
icon http://arxiv.org/abs/0810.4639v2

Works on an information geometrodynamical approach to chaos

In this paper, I propose a theoretical information-geometric framework suitable to characterize chaotic dynamical behavior of arbitrary complex systems on curved statistical manifolds. Specifically, I...
icon http://arxiv.org/abs/2502.01748v1

Resolving the Super-Earth/Gas Giant Connection in Stellar Mass an...

The observed correlation between inner super-Earths and outer gas giants places strong constraints on formation theories. Building on previous work, Bryan $\&$ Lee 2024 showed that there is a statisti...
icon http://arxiv.org/abs/2012.05187v2

Smoothed Quantile Regression with Large-Scale Inference

Quantile regression is a powerful tool for learning the relationship between a response variable and a multivariate predictor while exploring heterogeneous effects. In this paper, we consider statisti...
icon http://arxiv.org/abs/1212.1119v1

Eulerian Field-Theoretic Closure Formalisms for Fluid Turbulence

The formalisms of Wyld [2] and Martin, Siggia, and Rose (MSR) [3] address the closure problem of a statistical treatment of homogeneous isotropic turbulence (HIT) based on techniques primarily develop...
icon http://arxiv.org/abs/1806.05602v2

Detecting Statistically Significant Communities

Community detection is a key data analysis problem across different fields. During the past decades, numerous algorithms have been proposed to address this issue. However, most work on community detec...
icon http://arxiv.org/abs/0910.4233v2

The Statistical Significance of the "Dark Flow"

We revisit the statistical significance of the "dark flow" presented in Kashlinsky et al. (2009). We do not find a statistically significant detection of a bulk flow. Instead we find that CMB correlat...
icon http://arxiv.org/abs/2210.08737v1

Temporal and Contextual Transformer for Multi-Camera Editing of T...

The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery. But it is hard to figure out the statistical pattern and apply intelligent processing d...
icon https://github.com/SM-at-THU/StatisticalMechanics

SM-at-THU/StatisticalMechanics

This is a collection of answers to a SM book written by R. K. Pathria & Paul D. Beale. Lecture notes can be added too. (⭐ 36)
icon http://arxiv.org/abs/1610.08000v1

Statistical Machine Translation for Indian Languages: Mission Hin...

This paper presents Centre for Development of Advanced Computing Mumbai's (CDACM) submission to NLP Tools Contest on Statistical Machine Translation in Indian Languages (ILSMT) 2015 (collocated with I...