output
20122021
most citedTwo General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian

82 citations

7 papers

math.NT2021★ 1 cited

Reciprocity and the Kernel of Dedekind Sums

Alexis LaBelle, Emily Van Bergeyk, Matthew P. Young

We use the action of Atkin-Lehner operators to generate a family of reciprocity formulas for newform Dedekind sums. This family of reciprocity formulas provides symmetries which we…

astro-ph.SR2018★ 6 cited

Investigating the Unusual Spectroscopic Time-Evolution in SN 2012fr

C. Cain, E. Baron, M. M. Phillips +9

The type Ia supernova (SN) 2012fr displayed an unusual combination of its Si II λλ5972, 6355 features. This includes the ratio of their pseudo equivalent widths, placing it at the…

nlin.PS2017★ 3 cited

Exact States in Waveguides With Periodically Modulated Nonlinearity

E. Ding, H. N. Chan, K. W. Chow +2

We introduce a one-dimensional model based on the nonlinear Schrodinger/Gross-Pitaevskii equation where the local nonlinearity is subject to spatially periodic modulation in terms…

nlin.PS2014★ 10 cited

Pinned modes in two-dimensional lossy lattices with local gain and nonlinearity

Edwin Ding, A. Y. S. Tang, K. W. Chow +1

We introduce a system with one or two amplified nonlinear sites ("hot spots", HSs) embedded into a two-dimensional linear lossy lattice. The system describes an array of evanescent…

nlin.PS2013★ 8 cited

Symmetric and antisymmetric nonlinear modes supported by dual local gain in lossy lattices

K. W. Chow, Edwin Ding, Boris A. Malomed +1

We introduce a discrete lossy system, into which a double hot spot (HS) is inserted, i.e., two mutually symmetric sites carrying linear gain and cubic nonlinearity. The system can…

q-bio.QM2013★ 82 cited

Two General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian

Tatiana Tatarinova, Michael Neely, Jay Bartroff +7

Population pharmacokinetic (PK) modeling methods can be statistically classified as either parametric or nonparametric (NP). Each classification can be divided into maximum likelih…