Standout Papers
Citation Impact
Citing Papers
Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
2020 StandoutScience
The effect of human mobility and control measures on the COVID-19 epidemic in China
2020 StandoutScience
Navigating the protein fitness landscape with Gaussian processes
2012 StandoutNobel
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
2020 StandoutScience
Regression Shrinkage and Selection Via the Lasso
1996 Standout
Maximum Likelihood from Incomplete Data Via the EM Algorithm
1977 Standout
Accelerating extinction risk from climate change
2015 StandoutScience
Overcoming catastrophic forgetting in neural networks
2017 StandoutNobel
Variable Selection via Gibbs Sampling
1993 Standout
Bayes Factors
1995 Standout
Hybrid Batch Bayesian Optimization
2012
Mutagenicity of heterocyclic nitrogen mustards (ICR compounds) in cultured mammalian cells.
1978
Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization
2014
Adaptive MCMC with Bayesian Optimization
2012
Convergence Rates of Efficient Global Optimization Algorithms
2011
Weight Uncertainty in Neural Network
2015
Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation
2018
Tensor decomposition for multiple-tissue gene expression experiments
2016
Computed Tomography — An Increasing Source of Radiation Exposure
2007 Standout
Potent activity of soluble B7RP‐1‐Fc in therapy of murine tumors in syngeneic hosts
2002
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Genetic effects on gene expression across human tissues
2017 StandoutNature
Identification of Selective Inhibitors of Cancer Stem Cells by High-Throughput Screening
2009 Standout
Cancer immunotherapy: breaking the barriers to harvest the crop
2004 StandoutNobel
Penetration of Tumor Tissue by Antibodies and Other Immunoproteins
1991
A mitochondrial genome sequence of a hominin from Sima de los Huesos
2013 StandoutNatureNobel
Lung Cancer, Cardiopulmonary Mortality, and Long-term Exposure to Fine Particulate Air Pollution
2002 Standout
A bootstrap resampling procedure for model building: Application to the cox regression model
1992
THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL
1997 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Approximate Bayesian Computation
2013
Selection of Mutant CHO Cells with Constitutive Activation of the HIF System and Inactivation of the von Hippel-Lindau Tumor Suppressor
2001 StandoutNobel
Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applications
2017 StandoutNobel
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
WNT/β-catenin mediates radiation resistance of mouse mammary progenitor cells
2007
Better Subset Regression Using the Nonnegative Garrote
1995
Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
2006 StandoutScience
Calibration and empirical Bayes variable selection
2000
A statistical method for tuning a computer code to a data base
2001
Some Comments onCp
1973
A Nonstationary Space-Time Gaussian Process Model for Partially Converged Simulations
2013
Integrated circuit design optimization using a sequential strategy
1992
Maximum entropy sampling
1987
Circuit Optimization via Sequential Computer Experiments: Design of an Output Buffer
1998
Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal
1993 Standout
The central role of the propensity score in observational studies for causal effects
1983 Standout
Bayes–Hermite quadrature
1991
Engagement of the ICOS pathway markedly enhances efficacy of CTLA-4 blockade in cancer immunotherapy
2014 StandoutNobel
Self-Avoiding Random Dynamics on Integer Complex Systems
2013
Gaussian Processes for Machine Learning
2005 Standout
Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection
2003
Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
2010
A Likelihood Ratio Statistic for Testing Goodness of Fit with Randomly Censored Data
1978
More Comments onCp
1995 Standout
Efficient Global Optimization of Expensive Black-Box Functions
1998 Standout
Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion
2011 StandoutScience
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
The Bayesian Lasso
2008 Standout
The Influence Curve and its Role in Robust Estimation
1974 Standout
Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs*
2013
Fake news on Twitter during the 2016 U.S. presidential election
2019 StandoutScience
Bayesian Calibration of Computer Models
2001 Standout
Mapping the Origins and Expansion of the Indo-European Language Family
2012 StandoutScience
A Robust Method for Multiple Linear Regression
1974
Multiple Organ Carcinogenicity of 1,3-Butadiene in B6C3F1Mice After 60 Weeks of Inhalation Exposure
1985 StandoutScience
Robust Locally Weighted Regression and Smoothing Scatterplots
1979 Standout
Staphylococcal Transfer Ribonucleic Acids
1974 StandoutNobel
Experimental Design and Observation for Large Systems
1996
Uniform Design: Theory and Application
2000 Standout
Cancer Treatment by Targeted Drug Delivery to Tumor Vasculature in a Mouse Model
1998 StandoutScience
Statistical issues in the design, analysis and interpretation of animal carcinogenicity studies.
1984
Crystalline Polyphenylene Covalent Organic Frameworks
2023 StandoutNobel
Least angle regression
2004 Standout
The Visual Design and Control of Trellis Display
1996
About the use of rank transformation in sensitivity analysis of model output
1995
Hierarchical adaptive experimental design for Gaussian process emulators
2008
Does the Immune System See Tumors as Foreign or Self?
2003
A Graphical Technique for Enhancing Scatterplots with Moving Statistics
1975
A surrogate-model-based method for constrained optimization
2000
Columns for rapid chromatographic separation of small amounts of tracer-labeled transfer ribonucleic acids
1971
Bayesian Experimental Design: A Review
1995
Designs for Computer Experiments
1989
An experimental methodology for response surface optimization methods
2011
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
1988 Standout
Importance measures in global sensitivity analysis of nonlinear models
1996 Standout
Factorial Sampling Plans for Preliminary Computational Experiments
1991 Standout
Cancer risks attributable to low doses of ionizing radiation: Assessing what we really know
2003 Standout
Molecular analysis of spontaneous somatic mutants
1977 StandoutNatureNobel
Regularization and Variable Selection Via the Elastic Net
2005 Standout
The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
1974
Detecting Novel Associations in Large Data Sets
2011 StandoutScience
Spike and slab variable selection: Frequentist and Bayesian strategies
2005
Fast Approximate Energy Minimization with Label Costs
2011
On the nature of hereditable variation in cultured somatic cells
1976
Greedy function approximation: A gradient boosting machine.
2001 Standout
Inference for Deterministic Simulation Models: The Bayesian Melding Approach
2000
Do Physicians Preach What They Practice?
1984 Standout
Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models
2006
A Statistical View of Some Chemometrics Regression Tools
1993
Works of Toby J. Mitchell being referenced
Direct Binding of Radioiodinated Monoclonal Antibody to Tumor Cells: Significance of Antibody Purity and Affinity for Drug Targeting or Tumor Imaging
1983
A computer program for the design of group testing experiments
1987
Bayesian Variable Selection in Linear Regression
1988
Life Shortening in RFM and BALB/c Mice as a Function of Radiation Quality, Dose, and Dose Rate
1979
Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments
1991
Extrapolation of the Relative Risk of Radiogenic Neoplasms across Mouse Strains and to Man
1988
Exploratory Analysis of Disease Prevalence Data from Survival/Sacrifice Experiments
1978
Survival and Cause of Death in Aging Germfree Athymic Nude and Normal Inbred C3Hf/He Mice2
1978
Exploratory designs for computational experiments
1995
The dose-response relationship for ethyl methanesulfonate-induced mutations at the hypoxanthine-guanine phosphoribosyl transferase locus in Chinese hamster ovary cells
1975
Design and Analysis of Computer Experiments
1989 Standout
Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
1993
Computer Construction of “D-Optimal” First-Order Designs
1974
The Simulation, Fitting, and Testing of a Stochastic Cellular Proliferation Model
1971
Existence of smoothed stationary processes on an interval
1990
Program of statistical designs for optimizing specific transfer ribonucleic acid assay conditions
1971
Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
1993
Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments
1991
Bayesian Variable Selection in Linear Regression
1988
Screening, Predicting, and Computer Experiments
1992
Fitting Equations to Data.
1973