The following pages link to volume (P26):
Displaying 50 items.
- Highly comparative time-series analysis: the empirical structure of time series and their methods (Q94284) (← links)
- Multiple-Interval Mapping for Quantitative Trait Loci Controlling Endosperm Traits (Q94316) (← links)
- A New Simple Method for Improving QTL Mapping Under Selective Genotyping (Q94319) (← links)
- A statistical framework for QTL hotspot detection (Q94322) (← links)
- The Expression of a Tensor or a Polyadic as a Sum of Products (Q94338) (← links)
- Estimating the undetected infections in the Covid-19 outbreak by harnessing capture–recapture methods (Q94390) (← links)
- Bias and variance of angular correlation functions (Q94415) (← links)
- Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data (Q94447) (← links)
- Posterior Mode Estimation by Extended Kalman Filtering for Multivariate Dynamic Generalized Linear Models (Q94451) (← links)
- Dynamic modelling and penalized likelihood estimation for discrete time survival data (Q94452) (← links)
- dynamichazard: Dynamic Hazard Models Using State Space Models (Q94453) (← links)
- Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data (Q94482) (← links)
- On the Use of Optimal Transportation Theory to Recode Variables and Application to Database Merging (Q94514) (← links)
- Regularized Optimal Transport of Covariates and Outcomes in Data Recoding (Q94517) (← links)
- Percentile-based control chart design with an application to Shewhart X̅ and S 2 control charts (Q94526) (← links)
- Partial correlations in compositional data analysis (Q94533) (← links)
- Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis (Q94543) (← links)
- Count-based differential expression analysis of RNA sequencing data using R and Bioconductor (Q94551) (← links)
- Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia (Q94563) (← links)
- Phylogenetic analysis of migration, differentiation, and class switching in B cells (Q94577) (← links)
- Dynamic Functional Principal Components (Q94590) (← links)
- Inferring the source of evaporated waters using stable H and O isotopes (Q94598) (← links)
- Modeling sparse longitudinal data on Riemannian manifolds (Q94609) (← links)
- Sample Selection Bias as a Specification Error (Q94625) (← links)
- A Heckman Selection-tModel (Q94628) (← links)
- A sample selection model with skew-normal distribution (Q94631) (← links)
- Birnbaum–Saunders sample selection model (Q94634) (← links)
- steps : Software for spatially and temporally explicit population simulations (Q94654) (← links)
- Supervised Machine Learning: A Brief Primer (Q94720) (← links)
- Network-based statistic: Identifying differences in brain networks (Q94727) (← links)
- Bayesian Estimation of Discrete Multivariate Latent Structure Models With Structural Zeros (Q94737) (← links)
- rangeMapper : a platform for the study of macroecology of life‐history traits (Q94753) (← links)
- Robust rank aggregation for gene list integration and meta-analysis (Q94760) (← links)
- Practical recommendations for reporting Fine-Gray model analyses for competing risk data (Q94776) (← links)
- An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis (Q94788) (← links)
- Sparse Principal Component Analysis (Q94791) (← links)
- A Selective Overview of Sparse Principal Component Analysis (Q94801) (← links)
- A Bayesian hierarchical model estimating CACE in meta‐analysis of randomized clinical trials with noncompliance (Q94811) (← links)
- A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section (Q94812) (← links)
- Bayesian hierarchical multi-subject multiscale analysis of functional MRI data (Q94816) (← links)
- A new approach for sizing trials with composite binary endpoints using anticipated marginal values and accounting for the correlation between components (Q94827) (← links)
- Statistical considerations when using a composite endpoint for comparing treatment groups (Q94829) (← links)
- Array programming with NumPy (Q94875) (← links)
- Variable selection under multiple imputation using the bootstrap in a prognostic study (Q94881) (← links)
- Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data (Q94894) (← links)
- Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data (Q94897) (← links)
- High throughput nonparametric probability density estimation (Q94923) (← links)
- Multiple testing in genome-wide association studies via hidden Markov models (Q94930) (← links)
- Registration for exponential family functional data (Q94944) (← links)
- Parsimonious Modeling of Yield Curves (Q94950) (← links)
