Article
Computer Science, Artificial Intelligence
Joseph A. Gallego, Fabio A. Gonzalez, Olfa Nasraoui
Summary: This paper explores the correspondence between least-square estimation in a reproducing kernel Hilbert space and different M-estimators in the original space, as well as the application of new robust kernels associated with various types of M-estimators in clustering tasks. The results show that some robust kernels perform as well as state-of-the-art robust clustering methods.
Article
Quantum Science & Technology
Senrui Chen, Wenjun Yu, Pei Zeng, Steven T. Flammia
Summary: The study presents an efficient and noise-resilient protocol for learning properties of quantum states, which can effectively characterize and mitigate noise interference in the shadow estimation scheme, suitable for current experimental conditions, with good sampling efficiency and noise resilience.
Article
Geochemistry & Geophysics
Hang Wang, Guangtan Huang, Yangkang Chen
Summary: The study proposes an improvement to the PWD algorithm by introducing a nonstationary triangle smoothing operator, which adaptively constrains the solution based on local signal reliability, enhancing the robustness of slope estimation. The traditional PWD algorithm struggles to balance smoothness and resolution, making this refinement essential to mitigate its limitations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Economics
Victor Chernozhukov, Juan Carlos Escanciano, Hidehiko Ichimura, Whitney K. Newey, James M. Robins
Summary: This article presents a general construction of locally robust/orthogonal moment functions for GMM, which are not affected by the first steps locally. The use of these orthogonal moments can reduce model selection and regularization bias, and the associated standard errors are robust to misspecification when the number of moment functions is the same as the number of parameters of interest.
Article
Automation & Control Systems
Nitin K. Singh, Abhisek K. Behera
Summary: In this paper, a twisting observer is proposed for robustly estimating the states of a second-order uncertain system. The observer approximates the unknown sign term for the non-measurable state with a delayed output-based switching function, and achieves the desired steady-state accuracy by controlling the delay parameter. The application of the observer to output feedback stabilization is also discussed.
Article
Statistics & Probability
Jan Obloj, Johannes Wiesel
Summary: In this study, the statistical estimation of super-hedging prices using historical stock returns in frictionless market with d traded assets is considered. A plug-in estimator based on empirical measures is introduced, which is shown to be consistent but lacks robustness. To address this issue, novel estimators are proposed that use a larger set of martingale measures defined through a tradeoff between the radius of Wasserstein balls around the empirical measure and the allowed norm of martingale densities.
ANNALS OF STATISTICS
(2021)
Article
Food Science & Technology
Juan I. Rattalino Edreira, Jose F. Andrade, Kenneth G. Cassman, Martin K. van Ittersum, Marloes P. van Loon, Patricio Grassini
Summary: The study compared different methods for estimating crop production and enhancing production, finding that estimates from top-down frameworks are uncertain and could benefit from incorporating estimates from bottom-up approaches for more accurate predictions of food security.
Article
Engineering, Electrical & Electronic
Shixiong Wang
Summary: This article proposes a distributionally robust particle filtering framework for the modeling of nonlinear systems, which provides a solution to uncertainties and improves the performance of state estimators. The framework uses worst-case distributions to generate and evaluate prior state particles, quantifies the worst-case scenario using entropy, and utilizes statistical similarity measures to define the radii of the maximum entropy distributions. The study proves the robustness of Gaussian approximation filters and demonstrates the framework's capability in dealing with non-additive and non-multiplicative measurement noises. The article also discusses measurement outlier treatment strategies within the framework.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Inoh Choi, Min Kim, Jaeho Choi, Jeongki Park, Sanghong Park, Kyungtae Kim
Summary: Impulse-radio ultra-wideband (IR-UWB) radar devices are capable of monitoring vital signs, such as respiratory and cardiac rates, by analyzing the phase of echo signals. However, interference caused by factors like body movement can pose challenges in accurately estimating cardiac rates. This study proposes a new framework with four steps to address this issue and achieve accurate and robust real-time cardiac rate estimation, even in the presence of body movement.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Batu Candan, Halil Ersin Soken
Summary: This article introduces two novel covariance-tuning methods for a robust Kalman filter algorithm to solve attitude estimation problem using only IMU measurements. The proposed methods can adapt to external accelerations to enhance robustness, and adjust the measurement noise covariance adaptively to improve attitude estimation accuracy.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Hongji Cao, Yunjia Wang, Jingxue Bi, Hongxia Qi, Meng Sun
Summary: This article proposes a robust heading estimation algorithm for smartphones, which integrates the gradient descent (GD) approach and genetic algorithm (GA) to compute the heading angle of smartphones and reduce the heading error accumulation induced by the errors of sensors. The algorithm utilizes the accelerometer, magnetometer, and gyroscope to estimate the heading angle, and employs a fitness function based on the squared triaxial errors of geomagnetic strength and acceleration to enhance accuracy and suppress error accumulation. The gyroscope's angular velocity is used to initialize the genetic algorithm, and a search area adjustment strategy based on gradient descent is devised to improve convergence rate and local search capability. Experimental results demonstrate that the algorithm achieves better heading estimation accuracy across three smartphones and four orientations, with an average heading error of 1.577 degrees on the Mate 20 smartphone.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Physics, Multidisciplinary
Archismita Dalal, Amara Katabarwa
Summary: A universal fault-tolerant quantum computer is currently unavailable, but the development of near-term quantum algorithms like robust amplitude estimation (RAE) can optimize the performance of noisy intermediate-scale quantum (NISQ) computers and early fault tolerant (EFT) quantum computers. The lack of realistic error models has been a challenge for RAE, but we solve this by tailoring device noise using randomized compiling to generate an effective noise model that closely simulates the impact of device noise on RAE. By conducting noisy simulations, we demonstrate that our noise-tailored RAE algorithm can achieve improvements in bias and precision, even showing an advantage over standard estimation techniques on IBM's quantum computer ibmq_belem.
NEW JOURNAL OF PHYSICS
(2023)
Article
Automation & Control Systems
Douglas A. Allan, James B. Rawlings
Summary: Recent papers on the robust stability of FIE and MHE have limitations in guaranteeing convergence and boundedness of estimate errors in various scenarios. A new definition of robust stability has been introduced to address these issues and show that both FIE and MHE can achieve robust stability and convergence under certain conditions.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2021)
Article
Optics
Antonio E. Russo, William M. Kirby, Kenneth M. Rudinger, Andrew D. Baczewski, Shelby Kimmel
Summary: The extension to the robust phase estimation protocol can identify incorrect results outside the expected statistical range. Consistency checks are provided to indicate violations of noise thresholds, helping identify when further estimates in the robust phase estimation process should not be trusted.
Article
Astronomy & Astrophysics
A. Samajdar, G. M. Shaifullah, A. Sesana, J. Antoniadis, M. Burgay, S. Chen, I Cognard, L. Guillemot, M. Kramer, J. W. McKee, M. B. Mickaliger, G. Theureau, E. Van der Wateren
Summary: This study focuses on searching for a nano-Hertz gravitational wave background signal using pulsar timing data. Although no definite evidence has been found yet, the researchers expect to make a statistically significant detection in the future with more data. The study compares different sampling algorithms and proposes two robustness checks for the data.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Agricultural Economics & Policy
Jeffrey T. LaFrance, Rulon D. Pope
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
(2008)
Article
Agricultural Economics & Policy
David A. Bessler, Jeffrey H. Dorfman, Mamiew T. Holt, Jeffrey T. LaFrance
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
(2010)
Article
Agricultural Economics & Policy
Jeffrey T. LaFrance, Rulon D. Pope
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
(2010)
Article
Agricultural Economics & Policy
Hayley H. Chouinard, David E. Davis, Jeffrey T. LaFrance, Jeffrey M. Perloff
APPLIED ECONOMIC PERSPECTIVES AND POLICY
(2010)
Article
Agricultural Economics & Policy
Jesse B. Tack, Rulon D. Pope, Jeffrey T. LaFrance, Ricardo H. Cavazos
EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS
(2015)
Review
Nutrition & Dietetics
Guy E. J. Faulkner, Paul Grootendorst, Van Hai Nguyen, Tatiana Andreyeva, Kelly Arbour-Nicitopoulos, M. Christopher Auld, Sean B. Cash, John Cawley, Peter Donnelly, Adam Drewnowski, Laurette Dube, Roberta Ferrence, Ian Janssen, Jeffrey LaFrance, Darius Lakdawalla, Rena Mendelsen, Lisa M. Powell, W. Bruce Traill, Frank Windmeijer
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
(2011)
Article
Economics
Jeffrey T. LaFrance
JOURNAL OF ECONOMETRICS
(2008)
Article
Economics
Rulon D. Pope, Jeffrey T. LaFrance, Richard E. Just
JOURNAL OF ECONOMETRICS
(2011)
Article
Economics
Jeffrey M. Perloff, Jeffrey T. LaFrance, Hayley H. Chouinard
Article
Agricultural Economics & Policy
Rachael E. Goodhue, Jeffrey T. LaFrance, Leo K. Simon
JOURNAL OF WINE ECONOMICS
(2009)
Article
Agricultural Economics & Policy
Rulon D. Pope, Jeffrey T. LaFrance, Richard E. Just
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
(2007)
Article
Agricultural Economics & Policy
Bruce R. Beattie, Jeffrey T. LaFrance
REVIEW OF AGRICULTURAL ECONOMICS
(2006)
Article
Economics
JT LaFrance
Article
Agricultural Economics & Policy
Timothy K. M. Beatty, Jeffrey T. LaFrance
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
(2005)
