papers

Publications (58)

stat.ME2021

Search Algorithms and Loss Functions for Bayesian Clustering

David B. Dahl, Devin J. Johnson, Peter Mueller

We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. Given the large size and…

stat.ME2014

Bayesian Inference for Tumor Subclones Accounting for Sequencing and Structural Variants

Juhee Lee, Peter Mueller, Subhajit Sengupta +2

Tumor samples are heterogeneous. They consist of different subclones that are characterized by differences in DNA nucleotide sequences and copy numbers on multiple loci. Heterogene…

stat.ME2015

Bayesian Inference for Latent Biologic Structure with Determinantal Point Processes (DPP)

Yanxun Xu, Peter Mueller, Donatello Telesca

We discuss the use of the determinantal point process (DPP) as a prior for latent structure in biomedical applications, where inference often centers on the interpretation of laten…

stat.AP2014

Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times

Yanxun Xu, Peter Mueller, Abdus S. Wahed +1

Dynamic treatment regimes in oncology and other disease areas often can be characterized by an alternating sequence of treatments or other actions and transition times between dise…

stat.ME2026

Vertical Consensus Inference for High-Dimensional Random Partition

Khai Nguyen, Yang Ni, Peter Mueller

We review recently proposed Bayesian approaches for clustering high-dimensional data. After identifying the main limitations of available approaches, we introduce an alternative fr…

quant-ph2018

Entanglement generation in superconducting qubits using holonomic operations

Daniel J. Egger, Marc Ganzhorn, Gian Salis +6

We investigate a non-adiabatic holonomic operation that enables us to entangle two fixed-frequency superconducting transmon qubits attached to a common bus resonator. Two coherent…

stat.AP2016

A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling

Yanxun Xu, Peter F. Thall, Peter Mueller +1

We propose a Bayesian nonparametric utility-based group sequential design for a randomized clinical trial to compare a gel sealant to standard care for resolving air leaks after pu…

stat.ME2025

DPGLM: A Semiparametric Bayesian GLM with Inhomogeneous Normalized Random Measures

Entejar Alam, Paul J. Rathouz, Peter Mueller

We introduce a novel varying-weight dependent Dirichlet process (DDP) model that extends a recently developed semi-parametric generalized linear model (SPGLM) by adding a nonparame…

stat.AP2019

Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records

Yang Ni, Peter Mueller, Yuan Ji

We propose a categorical matrix factorization method to infer latent diseases from electronic health records (EHR) data in an unsupervised manner. A latent disease is defined as an…

nucl-ex2016

Improved limit on the Ra electric dipole moment

Michael Bishof, Richard H. Parker, Kevin G. Bailey +10

Background: Octupole-deformed nuclei, such as that of Ra, are expected to amplify observable atomic electric dipole moments (EDMs) that arise from time-reversal and parity-…

astro-ph2003

Volume Filling Factors of the DIG

Dipanjan Mitra, Elly M. Berkhuijsen, Peter Mueller

Combining dispersion measures, distances and emission measures for 157 pulsars lying above \mid b \mid > 5 degree and between 60 degree < l < 360 degree we find the mean volume fil…

physics.geo-ph2014

Radiometric 81Kr dating identifies 120,000 year old ice at Taylor Glacier, Antarctica

Christo Buizert, Daniel Baggenstos, Wei Jiang +8

We present the first successful 81Kr-Kr radiometric dating of ancient polar ice. Krypton was extracted from the air bubbles in four ~350 kg polar ice samples from Taylor Glacier in…

math-ph2006

Uniform existence of the integrated density of states for models on $\ZZ^d$

Daniel Lenz, Peter Mueller, Ivan Veselić

We provide an ergodic theorem for certain Banach-space valued functions on structures over $\ZZ^d$, which allow for existence of frequencies of finite patterns. As an application w…

physics.ins-det2019

The Low-Radioactivity Underground Argon Workshop: A workshop synopsis

Thomas Alexander, Henning O. Back, Walter Bonivento +22

In response to the growing need for low-radioactivity argon, community experts and interested parties came together for a 2-day workshop to discuss the worldwide low-radioactivity…

stat.ME2026

Bayesian Nonparametrics: Principles and Practice

Nils Lid Hjort, Chris Holmes, Peter Mueller +1

This extended preface [to the Book `Bayesian Nonparametrics', Cambridge University Press, 2010, by NL Hjort, CC Holmes, P Mueller, SG Walker] is meant to explain why you are right…

stat.ME2026

A Mixed Self-Exciting Process to Model Epileptic Seizures

Karen Kanaster, Giovani L. Silva, Peter Mueller +2

Epilepsy is a neurological disorder characterized by recurrent seizures affecting more than 70 million people worldwide. Often, an individual with epilepsy is more likely to experi…

physics.ins-det2025

The Auger-Meitner Radioisotope Microscope: an instrument for characterization of Auger electron multiplicities and energy distributions

Patrick R. Stollenwerk, Stephen H. Southworth, Francesco Granato +9

We describe a new instrument, the Argonne Auger Radioisotope Microscope (ARM), capable of characterizing the Auger electron emission of radionuclides, including candidates relevant…

math-ph2000

Spectral Localization by Gaussian Random Potentials in Multi-Dimensional Continuous Space

Werner Fischer, Hajo Leschke, Peter Mueller

A detailed mathematical proof is given that the energy spectrum of a non-relativistic quantum particle in multi-dimensional Euclidean space under the influence of suitable random p…

math.ST2023

Regression with Variable Dimension Covariates

Peter Mueller, Fernando Andrés Quintana, Garritt L. Page

Regression is one of the most fundamental statistical inference problems. A broad definition of regression problems is as estimation of the distribution of an outcome using a famil…

stat.ME2024

Graph-Aligned Random Partition Model (GARP)

Giovanni Rebaudo, Peter Mueller

Bayesian nonparametric mixtures and random partition models are powerful tools for probabilistic clustering. However, standard independent mixture models can be restrictive in some…

stat.AP2017

PairClone: A Bayesian Subclone Caller Based on Mutation Pairs

Tianjian Zhou, Peter Mueller, Subhajit Sengupta +1

Tumor cell populations can be thought of as being composed of homogeneous cell subpopulations, with each subpopulation being characterized by overlapping sets of single nucleotide…

quant-ph2019

Pulsed reset protocol for fixed-frequency superconducting qubits

Daniel J. Egger, Max Werninghaus, Marc Ganzhorn +4

Improving coherence times of quantum bits is a fundamental challenge in the field of quantum computing. With long-lived qubits it becomes, however, inefficient to wait until the qu…

physics.ins-det2021

Surface Processing and Discharge-Conditioning of High Voltage Electrodes for the Ra EDM Experiment

Roy A. Ready, Gordon Arrowsmith-Kron, Kevin G. Bailey +21

The Ra EDM experiment uses a pair of high voltage electrodes to search for the atomic electric dipole moment of Ra. We use identical, plane-parallel electrodes with a prima…

stat.ME2026

Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics

Giovanni Rebaudo, Qiaohui Lin, Peter Mueller

We argue for the use of separate exchangeability as a modeling principle in Bayesian nonparametric (BNP) inference. Separate exchangeability is \emph{de facto} widely applied in th…

physics.atom-ph2024

A VUV light source for enhanced production of metastable krypton and xenon beams

Patrick R. Stollenwerk, Kevin G. Bailey, Daniel Koch +4

We demonstrate excitation of metastable krypton and xenon beams using a vacuum ultraviolet lamp and directly compare the performance of this method to metastable excitation based o…

stat.ME2020

The Dependent Dirichlet Process and Related Models

Fernand A. Quintana, Peter Mueller, Alejandro Jara +1

Standard regression approaches assume that some finite number of the response distribution characteristics, such as location and scale, change as a (parametric or nonparametric) fu…

quant-ph2017

Fermionic Hamiltonians for quantum simulations: a general reduction scheme

Panagiotis Kl. Barkoutsos, Nikolaj Moll, Peter W. J. Staar +5

Many-body fermionic quantum calculations performed on analog quantum computers are restricted by the presence of k-local terms, which represent interactions among more than two qub…

physics.ins-det2016

High accuracy position response calibration method for a micro-channel plate ion detector

Ran Hong, Arnaud Leredde, Yelena Bagdasarova +9

We have developed a position response calibration method for a micro-channel plate (MCP) detector with a delay-line anode position readout scheme. Using an {\em in situ} calibratio…

stat.ME2026

Distributional Determinantal Point Process for Repulsive Clustering of Distributions

Khai Nguyen, Yang Ni, Elizabeth Juarez-Colunga +1

We introduce the distributional determinantal point process (dDPP) as a novel repulsive point process whose atoms are probability distributions rather than points in a real space.…

stat.ME2014

MAD Bayes for Tumor Heterogeneity Feature Allocation with Non-Normal Sampling

Yanxun Xu, Peter Mueller, Yuan Yuan +2

We propose small-variance asymptotic approximations for the inference of tumor heterogeneity (TH) using next-generation sequencing data. Understanding TH is an important and open r…

stat.ME2026

Bayesian Multiple Multivariate Density-Density Regression

Khai Nguyen, Yang Ni, Peter Mueller

We propose the first approach for multiple multivariate density-density regression (MDDR), making it possible to consider the regression of a multivariate density-valued response o…

math.NT2012

A one--parameter family of polynomials with Galois group M24 over Q(t)

Peter Mueller

Granboulan computed an explicit polynomial whose Galois group over the rational function field Q(t) is the Mathieu group M24. By a result of Malle and Matzat, it was known before t…

quant-ph1998

On the averaged quantum dynamics by white-noise Hamiltonians with and without dissipation

Werner Fischer, Hajo Leschke, Peter Mueller

Exact results are derived on the averaged dynamics of a class of random quantum-dynamical systems in continuous space. Each member of the class is characterized by a Hamiltonian wh…

math.NT2013

Low-degree planar monomials in characteristic two

Peter Mueller, Michael E. Zieve

Planar functions over finite fields give rise to finite projective planes and other combinatorial objects. They exist only in odd characteristic, but recently Zhou introduced an ev…

physics.atom-ph2023

Implementing an electronic sideband offset lock for precision spectroscopy in radium

Tenzin Rabga, Kevin G. Bailey, Michael Bishof +6

We demonstrate laser frequency stabilization with at least 6 GHz of offset tunability using an in-phase/quadrature (IQ) modulator to generate electronic sidebands (ESB) on a titani…

quant-ph2022

A system design approach toward integrated cryogenic quantum control systems

Mridula Prathapan, Peter Mueller, David Heim +8

In this paper, we provide a system level perspective on the design of control electronics for large scale quantum systems. Quantum computing systems with high-fidelity control and…

quant-ph1997

Rigorous results on Schroedinger operators with certain Gaussian random potentials in multi-dimensional continuous space

Werner Fischer, Thomas Hupfer, Hajo Leschke +1

Schroedinger operators with certain Gaussian random potentials in multi-dimensional Euclidean space possess almost surely an absolutely continuous integrated density of states and…

quant-ph2018

Gate-efficient simulation of molecular eigenstates on a quantum computer

Marc Ganzhorn, Daniel J. Egger, Panagiotis Kl. Barkoutsos +8

A key requirement to perform simulations of large quantum systems on near-term quantum hardware is the design of quantum algorithms with short circuit depth that finish within the…

stat.AP2018

A Nonparametric Bayesian Basket Trial Design

Yanxun Xu, Peter Mueller, Apostolia M Tsimberidou +1

Targeted therapies on the basis of genomic aberrations analysis of the tumor have shown promising results in cancer prognosis and treatment. Regardless of tumor type, trials that m…

stat.CO2020

Consensus Monte Carlo for Random Subsets using Shared Anchors

Yang Ni, Yuan Ji, Peter Mueller

We present a consensus Monte Carlo algorithm that scales existing Bayesian nonparametric models for clustering and feature allocation to big data. The algorithm is valid for any pr…

physics.atom-ph2013

Ion Current as a Precise Measure of the Loading Rate of a Magneto-Optical Trap

Wei Jiang, Kevin Bailey, Zheng-Tian Lu +3

We have demonstrated that the ion current resulting from collisions between metastable krypton atoms in a magneto-optical trap can be used to precisely measure the trap loading rat…

math.GR2001

Permutation Groups with a Cyclic Two-Orbits Subgroup and Monodromy Groups of Siegel Functions

Peter Mueller

We classify the finite primitive permutation groups which have a cyclic subgroup with two orbits. This extends classical topics in permutation group theory, and has arithmetic cons…

cond-mat.soft2016

Fluid transport and mixing by an unsteady microswimmer

Peter Mueller, Jean-Luc Thiffeault

We study the fluid drift due to a time-dependent dumbbell model of a microswimmer. The model captures important aspects of real microswimmers such as a time-dependent flagellar mot…

quant-ph2022

A cryogenic SRAM based arbitrary waveform generator in 14 nm for spin qubit control

Mridula Prathapan, Peter Mueller, Christian Menolfi +8

Realization of qubit gate sequences require coherent microwave control pulses with programmable amplitude, duration, spacing and phase. We propose an SRAM based arbitrary waveform…

stat.ME2021

A Unified Decision Framework for Phase I Dose-Finding Designs

Yunshan Duan, Shijie Yuan, Yuan Ji +1

The purpose of a phase I dose-finding clinical trial is to investigate the toxicity profiles of various doses for a new drug and identify the maximum tolerated dose. Over the past…

nucl-th2019

Opportunities for Nuclear Physics & Quantum Information Science

Ian C. Cloët, Matthew R. Dietrich, John Arrington +23

This whitepaper is an outcome of the workshop Intersections between Nuclear Physics and Quantum Information held at Argonne National Laboratory on 28-30 March 2018 [www.phy.anl.gov…

math.AG2008

On Ritt's polynomial decomposition theorems

Michael E. Zieve, Peter Mueller

Ritt studied the functional decomposition of a univariate complex polynomial f into prime (indecomposable) polynomials, f = u_1 o u_2 o ... o u_r. His main achievement was a proced…

stat.ME2025

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures

Khai Nguyen, Peter Mueller

Existing methods to summarize posterior inference for mixture models focus on identifying a point estimate of the implied random partition for clustering, with density estimation a…

cond-mat.stat-mech2000

Critical Dynamics of Gelation

Kurt Broderix, Henning Loewe, Peter Mueller +1

Shear relaxation and dynamic density fluctuations are studied within a Rouse model, generalized to include the effects of permanent random crosslinks. We derive an exact correspond…

stat.ME2022

A Recommender System Based on a Double Feature Allocation Model

Qiaohui Lin, Peter Mueller

A collaborative filtering recommender system predicts user preferences by discovering common features among users and items. We implement such inference using a Bayesian double fea…

stat.AP2017

TreeClone: Reconstruction of Tumor Subclone Phylogeny Based on Mutation Pairs using Next Generation Sequencing Data

Tianjian Zhou, Subhajit Sengupta, Peter Mueller +1

We present TreeClone, a latent feature allocation model to reconstruct tumor subclones subject to phylogenetic evolution that mimics tumor evolution. Similar to most current method…

stat.ME2025

Bayesian Multivariate Density-Density Regression

Khai Nguyen, Yang Ni, Peter Mueller

We introduce a novel and scalable Bayesian framework for multivariate-density-density regression (DDR), designed to model relationships between multivariate distributions. Our appr…

stat.ME2016

Reciprocal Graphical Models for Integrative Gene Regulatory Network Analysis

Yang Ni, Yuan Ji, Peter Mueller

Constructing gene regulatory networks is a fundamental task in systems biology. We introduce a Gaussian reciprocal graphical model for inference about gene regulatory relationships…

stat.ME2022

Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models

Noirrit Kiran Chandra, Peter Mueller, Abhra Sarkar

We propose a novel approach to estimating the precision matrix of multivariate Gaussian data that relies on decomposing them into a low-rank and a diagonal component. Such decompos…

cond-mat.stat-mech1999

Shear viscosity of a crosslinked polymer melt

Kurt Broderix, Henning Loewe, Peter Mueller +1

We investigate the static shear viscosity on the sol side of the vulcanization transition within a minimal mesoscopic model for the Rouse-dynamics of a randomly crosslinked melt of…

stat.ME2018

Heterogeneous Reciprocal Graphical Models

Yang Ni, Peter Mueller, Yitan Zhu +1

We develop novel hierarchical reciprocal graphical models to infer gene networks from heterogeneous data. In the case of data that can be naturally divided into known groups, we pr…

stat.ME2024

Clustering and Meta-Analysis Using a Mixture of Dependent Linear Tail-Free Priors

Bernardo Flores, Peter Mueller

We propose a novel nonparametric Bayesian approach for meta-analysis with event time outcomes. The model is an extension of linear dependent tail-free processes. The extension incl…

astro-ph2008

Densities and filling factors of the DIG in the Solar neighbourhood

Elly M. Berkhuijsen, Peter Mueller

For the first time we have combined dispersion measures and emission measures towards 38 pulsars at KNOWN distances from which we derived the mean electron density in clouds, N_c,…