The following pages link to DOI (P27):
Displaying 50 items.
- Quick calculation for sample size while controlling false discovery rate with application to microarray analysis (Q143879) (← links)
- A unified partial likelihood approach for X-chromosome association on time-to-event outcomes (Q143884) (← links)
- A novel model for the X-chromosome inactivation association on survival data (Q143887) (← links)
- Clustering and Semi-Supervised Classification for Clickstream Data via Mixture Models (Q143898) (← links)
- Examples of Adaptive MCMC (Q143919) (← links)
- BEST : A decision tree algorithm that handles missing values (Q143925) (← links)
- Identification of Protein N-Termini Using TMPP or Dimethyl Labeling and Mass Spectrometry (Q143939) (← links)
- N-Terminal Amino Acid Sequence Determination of Proteins by N-Terminal Dimethyl Labeling: Pitfalls and Advantages When Compared with Edman Degradation Sequence Analysis (Q143949) (← links)
- Large Sample Properties of Partitioning-Based Series Estimators (Q143957) (← links)
- lspartition: Partitioning-Based Least Squares Regression (Q143958) (← links)
- Inference for three-parameter 𝑴-Wright distributions with applications (Q143973) (← links)
- Moment estimators for the two-parameter M-Wright distribution (Q143974) (← links)
- Estimation and Simulation for theM-Wright Function (Q143975) (← links)
- The -Wright Function in Time-Fractional Diffusion Processes: A Tutorial Survey (Q143980) (← links)
- A hidden process regression model for functional data description. Application to curve discrimination (Q143994) (← links)
- Model-based clustering with Hidden Markov Model regression for time series with regime changes (Q143998) (← links)
- Model-based clustering and segmentation of time series with changes in regime (Q143999) (← links)
- Mixture model-based functional discriminant analysis for curve classification (Q144002) (← links)
- Model-based functional mixture discriminant analysis with hidden process regression for curve classification (Q144006) (← links)
- Model‐based clustering and classification of functional data (Q144007) (← links)
- Random projections for Bayesian regression (Q144017) (← links)
- An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations (Q144036) (← links)
- A postgenomic method for predicting essential genes at subsaturation levels of mutagenesis: Application to Mycobacterium tuberculosis (Q144045) (← links)
- Robust Clustering Using Tau-Scales (Q144058) (← links)
- Applications of Item Response Theory To Practical Testing Problems (Q144076) (← links)
- Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman, MIT Press, 1231 pp., $95.00, ISBN 0-262-01319-3 (Q144084) (← links)
- Bayesian Networks (Q144089) (← links)
- Efficient Metropolis–Hastings Proposal Mechanisms for Bayesian Regression Tree Models (Q144096) (← links)
- Heteroscedastic BART Using Multiplicative Regression Trees (Q144099) (← links)
- Flexible and Interpretable Models for Survival Data (Q144105) (← links)
- Extended Poisson process modelling and analysis of grouped binary data (Q144111) (← links)
- On Determining the Statistical Significance of Discontinuities with Ordered Ecological Data (Q144123) (← links)
- Simulation-Extrapolation Estimation in Parametric Measurement Error Models (Q144129) (← links)
- A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX (Q144133) (← links)
- Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects (Q144142) (← links)
- A Contribution to the Theory of Economic Growth (Q144151) (← links)
- A Contribution to the Empirics of Economic Growth (Q144155) (← links)
- Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach (Q144166) (← links)
- Modelling and Forecasting Daily Electricity Load via Curve Linear Regression (Q144168) (← links)
- Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments (Q144177) (← links)
- Machine Learning Techniques—Reductions Between Prediction Quality Metrics (Q144184) (← links)
- A matrix variate skew-t distribution (Q144188) (← links)
- Unifying Optimization Algorithms to Aid Software System Users:optimxforR (Q144206) (← links)
- Density estimation with distribution element trees (Q144212) (← links)
- (Un)Conditional Sample Generation Based on Distribution Element Trees (Q144213) (← links)
- (Un)Conditional Sample Generation Based on Distribution Element Trees (Q144215) (← links)
- A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (Q144221) (← links)
- Development and application of consumer credit scoring models using profit-based classification measures (Q144224) (← links)
- Introduction to Statistical Time Series (Q144233) (← links)
- An<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si11.gif" display="inline" overflow="scroll"><mml:mi>M</mml:mi></mml:math>-estimator for the long-memory parameter (Q144237) (← links)
