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Great news! Data Science in Science has been accepted into Scopus! @tandfSTEM #Scopus #DataScience
Are Neural Representation Learning Methods a Viable Alternative to TMLE for Causal Estimation? tandfonline.com/doi/full/10.10…
Challenges with Dual Use of Auxiliary Variable: A Class of Estimators for Population Mean tandfonline.com/doi/full/10.10…
tandfonline.com
Challenges with Dual Use of Auxiliary Variable: A Class of Estimators for Population Mean
The estimation of finite population mean is always of interest for different sampling techniques and it is the basic measure to find for sample to estimate one of the most applicable central tenden...
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study tandfonline.com/doi/full/10.10…
Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments @tandfSTEM tandfonline.com/doi/full/10.10…
Dynamic Linear Models for Wastewater-Based Epidemiology with Missing Values: an Application to Covid-19 Surveillance @tandfSTEM #epidemiology #data #water #covid19 tandfonline.com/doi/full/10.10…
tandfonline.com
Dynamic Linear Models for Wastewater-Based Epidemiology with Missing Values: an Application to...
We argue for the usage of dynamic linear models (DLMs) for pre-processing and modeling of wastewater data used for surveillance of population infectious disease levels. Unlike other existing models...
A Nonlinear Hierarchical Time Series Approach to Citywide Trend Assessment of Viruses, Hot Spot Signals, and Right-Sizing System tandfonline.com/doi/full/10.10…
tandfonline.com
A Nonlinear Hierarchical Time Series Approach to Citywide Trend Assessment of Viruses, Hot Spot...
Wastewater surveillance has proven to be a cost-effective cornerstone in public health, offering vital insights into a spectrum of community health issues, particularly during the COVID-19 pandemic...
New Journal alert - ASA Discoveries! New OA journal from the American Statistical Association and published by @tandfonline @tandfSTEM Check out the opening Editorial below! ⬇️⬇️⬇️⬇️⬇️⬇️⬇️ tandfonline.com/doi/full/10.10…
On Some Test Statistics for Coefficients in the Ridge, Liu and Kibria–Lukman Linear Regression Models: A Simulation Study tandfonline.com/doi/full/10.10…
Designing Efficient Sample Strata Through Application of Random Forest Classifiers to Administrative and Survey Data tandfonline.com/doi/full/10.10…
Echo State Networks for Spatio-Temporal Area-Level Data tandfonline.com/doi/full/10.10…
SeasCen, A Python-Based Platform for Time Series Modeling and Seasonal Adjustment tandfonline.com/doi/full/10.10…
tandfonline.com
SeasCen, A Python-Based Platform for Time Series Modeling and Seasonal Adjustment
Whereas X-13ARIMA-SEATS (X-13) is widely used around the world to seasonally adjust economic time series, its continued longevity is jeopardized by the ongoing difficulty of maintaining its FORTRAN...
Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events tandfonline.com/doi/full/10.10…
tandfonline.com
Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events
Marginal structural models (MSMs) are recognized as useful methods for addressing the issue of time-varying confounding in longitudinal studies. In the analyses of longitudinal data with binary out...
Multi-Regime Smooth Transition Stochastic Volatility Models for Financial Time Series tandfonline.com/doi/full/10.10…
New article: A Bayesian Time-Varying Psychophysiological Interaction Model @tandfSTEM tandfonline.com/doi/full/10.10…
Uncovering Dynamic Relationships Between SARS-CoV-2 Wastewater Concentrations and Community Infections via Bayesian Spatial Functional Concurrent Regression tandfonline.com/doi/full/10.10…
THANOS: A Predictive Model of Electoral Campaigns Using Twitter Data and Opinion Polls tandfonline.com/doi/full/10.10…
A Novel Tree-Based Combined Test for Seasonality tandfonline.com/doi/full/10.10…
Building the Census Bureau Index of Economic Activity (IDEA) tandfonline.com/doi/full/10.10…
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