The following pages link to author (P16):
Displaying 50 items.
- Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis (Q105874) (← links)
- CRTConjoint (Q105875) (← links)
- Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies (Q105878) (← links)
- grPipe (Q105883) (← links)
- New graph-based multi-sample tests for high-dimensional and non-Euclidean data (Q105886) (← links)
- gTestsMulti (Q105887) (← links)
- A Generalized Concordance Correlation Coefficient Based on the Variance Components Generalized Linear Mixed Models for Overdispersed Count Data (Q105889) (← links)
- iccCounts (Q105890) (← links)
- jmvconnect (Q105892) (← links)
- Statistical tests for multiple forecast comparison (Q105896) (← links)
- multDM (Q105897) (← links)
- NBPSeq (Q105899) (← links)
- Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs (Q105906) (← links)
- Composite grid designs for adaptive computer experiments with fast inference (Q105911) (← links)
- Gaussian Processes for Machine Learning (Q105914) (← links)
- Surrogates (Q105916) (← links)
- outerbase (Q105917) (← links)
- rankrate (Q105922) (← links)
- Biclustering via sparse clustering (Q105950) (← links)
- SCBiclust (Q105951) (← links)
- seedCCA (Q105953) (← links)
- SLOPE (Q105967) (← links)
- starticles (Q105968) (← links)
- TeachHist (Q105970) (← links)
- Numerical Computation of Multivariate Normal Probabilities (Q105976) (← links)
- Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities (Q105978) (← links)
- tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student-t Probabilities with Low-Rank Methods in R (Q105979) (← links)
- trapezoid (Q105981) (← links)
- Complex systems: Network thinking (Q105986) (← links)
- Machine Learning in Complex Networks (Q105989) (← links)
- Time series analysis via network science: Concepts and algorithms (Q105996) (← links)
- Nonparametric cluster significance testing with reference to a unimodal null distribution (Q106001) (← links)
- UNPaC (Q106002) (← links)
- uscoauditlog (Q106004) (← links)
- DTSg (Q106006) (← links)
- greatR (Q106011) (← links)
- hgnc (Q106012) (← links)
- Prices of State Contingent Claims with Insider Traders, and the Favourite-Longshot Bias (Q106015) (← links)
- implied (Q106016) (← links)
- A new method for fast computing unbiased estimators of cumulants (Q106022) (← links)
- A new algorithm for computing the multivariate Faà di Bruno's formula (Q106023) (← links)
- mi (Q106025) (← links)
- Bayesian regression models for ecological count data in PyMC3 (Q106032) (← links)
- Bayesian Modeling Using WinBUGS (Q106034) (← links)
- saeHB.gpois (Q106035) (← links)
- Association Tests Using Copy Number Profile Curves (CONCUR) Enhances Power in Rare Copy Number Variant Analysis (Q106062) (← links)
- CONCUR (Q106063) (← links)
- Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines (Q106073) (← links)
- Evaluating Vaccine Efficacy Against Severe Acute Respiratory Syndrome Coronavirus 2 Infection (Q106075) (← links)
- DOVE (Q106076) (← links)
