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Flexible parametrization of graph-theoretical features from individual-specific networks for prediction

Authors: Mariella Gregorich, Sean L. Simpson, Georg Heinze

arXiv

Statistical techniques are needed to analyse data structures with complex dependencies such that clinically useful information can be extracted. Individual-specific networks, which capture dependencie...

mental health psychology open access

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes

Authors: Lu Yang

arXiv

The assessment of regression models with discrete outcomes is challenging and has many fundamental issues. With discrete outcomes, standard regression model assessment tools such as Pearson and devian...

mental health psychology open access

Prediction of Tourism Flow with Sparse Geolocation Data

Authors: Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer

arXiv

Modern tourism in the 21st century is facing numerous challenges. Among these the rapidly growing number of tourists visiting space-limited regions like historical cities, museums and bottlenecks such...

mental health psychology open access

A Bayesian Projection of the Total Fertility Rate of Puerto Rico: 2020-2050

Authors: Angélica Rosario Santos, Luis Pericchi Guerra, Hernando Mattei

arXiv

The abrupt decline in the Total Fertility Rate (TFR) of Puerto Rico since 2000 makes the prospect of a sustained population decline a real possibility. From 2000 to 2021 the TFR declined from 2.1 to 0...

mental health psychology open access

Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity

Authors: Christopher Versteeg, Andrew R. Sedler, Jonathan D. McCart, Chethan Pandarinath

arXiv

The advent of large-scale neural recordings has enabled new methods to discover the computational mechanisms of neural circuits by understanding the rules that govern how their state evolves over time...

mental health psychology open access

Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-like Penalty

Authors: Zhiyong Hu, Dipak Dey

arXiv

With the rapid development of modern technology, massive amounts of data with complex pattern are generated. Gaussian process models that can easily fit the non-linearity in data become more and more...

mental health psychology open access

Health Estimate Differences Between Six Independent Web Surveys: Different Web Surveys, Different Results?

Authors: Rainer Schnell, Jonas Klingwort

arXiv

Most general population web surveys are based on online panels maintained by commercial survey agencies. However, survey agencies differ in their panel selection and management strategies. Little is k...

mental health psychology open access

Survey of Consciousness Theory from Computational Perspective

Authors: Zihan Ding, Xiaoxi Wei, Yidan Xu

arXiv

Human consciousness has been a long-lasting mystery for centuries, while machine intelligence and consciousness is an arduous pursuit. Researchers have developed diverse theories for interpreting the...

mental health psychology open access

Sex-based Disparities in Brain Aging: A Focus on Parkinson's Disease

Authors: Iman Beheshti, Samuel Booth, Ji Hyun Ko

arXiv

PD is linked to faster brain aging. Sex is recognized as an important factor in PD, such that males are twice as likely as females to have the disease and have more severe symptoms and a faster progre...

mental health psychology open access

Data-Driven Model For Heat Load Prediction In Buildings Connected To District Heating Networks

Authors: Alaeddine Hajri, Roberto Garay-Martinez, Ana Maria Macarulla, Mohamed Amin Ben Sassi

arXiv

In this study we investigate the heat load patterns in one building using multi-step forecasting model. We combine the Autoregressive models that use multiple eXogenous variables (ARX) with Seasonally...

mental health psychology open access

Kantorovich Mechanism for Pufferfish Privacy

Authors: Ni Ding

arXiv

Pufferfish privacy achieves $ε$-indistinguishability over a set of secret pairs in the disclosed data. This paper studies how to attain $ε$-pufferfish privacy by exponential mechanism, an additive noi...

mental health psychology open access

Hybrid Data-driven Framework for Shale Gas Production Performance Analysis via Game Theory, Machine Learning and Optimization Approaches

Authors: Jin Meng, Yujie Zhou, Tianrui Ye, Yitian Xiao

arXiv

A comprehensive and precise analysis of shale gas production performance is crucial for evaluating resource potential, designing field development plan, and making investment decisions. However, quant...

mental health psychology open access

Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures

Authors: Simon Wein, Alina Schüller, Ana Maria Tomé, Wilhelm M. Malloni, Mark W. Greenlee, Elmar W. Lang

arXiv

Comprehending the interplay between spatial and temporal characteristics of neural dynamics can contribute to our understanding of information processing in the human brain. Graph neural networks (GNN...

mental health psychology open access

Behavior measures are predicted by how information is encoded in an individual's brain

Authors: Jennifer Williams, Leila Wehbe

arXiv

Similar to how differences in the proficiency of the cardiovascular and musculoskeletal system predict an individual's athletic ability, differences in how the same brain region encodes information ac...

mental health psychology open access

Controlled-rearing studies of newborn chicks and deep neural networks

Authors: Donsuk Lee, Pranav Gujarathi, Justin N. Wood

arXiv

Convolutional neural networks (CNNs) can now achieve human-level performance on challenging object recognition tasks. CNNs are also the leading quantitative models in terms of predicting neural and be...

mental health psychology open access