A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes [PDF]
Journal of Statistical Computation and Simulation, 2014 Binary response models are often applied in dose–response settings where the number of dose levels is limited. Commonly, one can find cases where the maximum likelihood estimation process for these models produces infinite values for at least one of the ...
Roland C Deutsch +2 more
exaly +7 more sources
Reducing the projection onto the monotone extended second-order cone to the pool-adjacent-violators algorithm of isotonic regression [PDF]
Optimization, 2021 This paper introduces the monotone extended second-order cone (MESOC), which is related to the monotone cone and the second-order cone. Some properties of the MESOC are presented and its dual cone is computed.
Orizon P. Ferreira +2 more
semanticscholar +5 more sources
The National Hockey League Entry Draft, 1969–1995 [PDF]
The American Statistician, 2001 We use data on the National Hockey League Entry Draft and subsequent performances of the players to predict performance as a function of the players position, year, and overall rank in the draft. This is done by inequality-constrained least squares using a variation of the pool-adjacent-violators algorithm.
Dawson D., Magee L.
openaire +4 more sources
A Dual Active-Set Algorithm for Regularized Monotonic Regression [PDF]
Journal of Optimization Theory and Applications, 2017 Monotonic (isotonic) regression is a powerful tool used for solving a wide range of important applied problems. One of its features, which poses a limitation on its use in some areas, is that it produces a piecewise constant fitted response.
O. Burdakov, O. Sysoev
semanticscholar +3 more sources
Appendix C: Pool Adjacent Violators Algorithm [PDF]
, 2014 G. Zadora +3 more
semanticscholar +2 more sources
Evaluating Probabilistic Classifiers: The Triptych [PDF]
International Journal of Forecasting, 2023 Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confidence scores, are ubiquitous in science and society, and methods for evaluating and comparing them are in great demand.
Timo Dimitriadis +3 more
semanticscholar +1 more source
Power of A Score Test in One Way Model Under Order Restriction [PDF]
The Egyptian Statistical Journal, 2006 This paper discusses the power of the score test for homogeneity or equality of normal means with two alternative order restrictions, the simple ordering and the umbrella ordering (unimodal).
Sayed El-Sayed
doaj +1 more source
Observed and pooled-adjacent violators algorithm-adjusted response rates. [PDF]
, 2021 Observed and pooled-adjacent violators algorithm-adjusted response rates.
Mingan Yang (3515819) +6 more
core +1 more source
Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output [PDF]
SIAM Review, 2022 How can we quantify uncertainty if our favorite computational tool - be it a numerical, a statistical, or a machine learning approach, or just any computer model - provides single-valued output only?
Eva-Maria Walz +3 more
semanticscholar +1 more source
Partial likelihood estimation of isotonic proportional hazards models. [PDF]
Biometrika, 2018 Chung Y, Ivanova A, Hudgens MG, Fine JP.
europepmc +2 more sources