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Autocorrelation

A general dose-response relationship for chronic chemical and other health stressors and mixtures based on an emergent illness severity model

James D. Englehardt, Weihsueh A. Chiu

Systematically false positives in early warning signal analysis

Georg Jäger, Manfred Füllsack

Predicting neurological recovery with Canonical Autocorrelation Embeddings

Maria De-Arteaga, Jieshi Chen, [ ... ], Artur Dubrawski

Intensive longitudinal modelling predicts diurnal activity of salivary alpha-amylase

Jesús F. Rosel, Pilar Jara, [ ... ], Juan J. Canales

Bayesian change-point modeling with segmented ARMA model

Farhana Sadia, Sarah Boyd, Jonathan M. Keith

Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model

Yongbin Wang, Chunjie Xu, [ ... ], Juxiang Yuan

The effect of breed-specific dog legislation on hospital treated dog bites in Odense, Denmark—A time series intervention study

Finn Nilson, John Damsager, Jens Lauritsen, Carl Bonander

Bayesian hierarchical vector autoregressive models for patient-level predictive modeling

Feihan Lu, Yao Zheng, [ ... ], David Madigan

Poincaré plot analysis of cerebral blood flow signals: Feature extraction and classification methods for apnea detection

Carmen González, Erik W. Jensen, Pedro L. Gambús, Montserrat Vallverdú

Predicting altcoin returns using social media

Lars Steinert, Christian Herff

A new Seasonal Difference Space-Time Autoregressive Integrated Moving Average (SD-STARIMA) model and spatiotemporal trend prediction analysis for Hemorrhagic Fever with Renal Syndrome (HFRS)

Youlin Zhao, Liang Ge, [ ... ], Huiping Cheng

Simple but robust improvement in multivoxel pattern classification

Sangil Lee, Joseph W. Kable

Time wears on: Assessing how bone wears using 3D surface texture analysis

Naomi L. Martisius, Isabelle Sidéra, [ ... ], Ellen Schulz-Kornas

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