Pages that link to "Item:Q1621385"
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The following pages link to RcppArmadillo: accelerating R with high-performance C++ linear algebra (Q1621385):
Displaying 19 items.
- Oracle M‐Estimation for Time Series Models (Q5346585) (← links)
- Shape-constrained semiparametric additive stochastic volatility models (Q5879997) (← links)
- Extending <i>R</i> with C++: A Brief Introduction to Rcpp (Q5882499) (← links)
- Pre-processing for approximate Bayesian computation in image analysis (Q5963548) (← links)
- Coarse-graining algorithms for the Eulerian-Lagrangian simulation of particle-laden flows (Q6048426) (← links)
- Adaptive Bayesian Sum of Trees Model for Covariate-Dependent Spectral Analysis (Q6055754) (← links)
- Order selection with confidence for finite mixture models (Q6101011) (← links)
- Non-reversible guided Metropolis kernel (Q6116753) (← links)
- Space-time Integer-valued ARMA modelling for time series of counts (Q6144432) (← links)
- A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy (Q6145041) (← links)
- An ARL-unbiased modified chart for monitoring autoregressive counts with geometric marginal distributions (Q6168077) (← links)
- A quadratic upper bound algorithm for regression analysis of credit risk under the proportional hazards model with case-cohort data (Q6173558) (← links)
- Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models (Q6179612) (← links)
- Bayesian contiguity constrained clustering (Q6494400) (← links)
- Expectile and M-quantile regression for panel data (Q6547770) (← links)
- A longitudinal study of the influence of air pollutants on children: a robust multivariate approach (Q6604273) (← links)
- Mechanistic spatial models for heavy metal pollution (Q6626513) (← links)
- Improving large-scale estimation and inference for profiling health care providers (Q6628593) (← links)
- Multivariate ordinal random effects models including subject and group specific response style effects (Q6665009) (← links)