Hien D. Nguyen
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View article: Sequential Sample Average Majorization–Minimization
Sequential Sample Average Majorization–Minimization Open
View article: An Efficient Online Monitoring Method for High‐Dimensional Data Based on Interpoint Distance Algorithm
An Efficient Online Monitoring Method for High‐Dimensional Data Based on Interpoint Distance Algorithm Open
With the continued development of modern monitoring technology, high‐dimensional (HD) structures have become more commonplace. However, HD data can be complex, often making traditional monitoring methods invalid. Therefore, designing effic…
View article: Modifications of the BIC for order selection in finite mixture models
Modifications of the BIC for order selection in finite mixture models Open
Finite mixture models are ubiquitous tools in modern statistical modeling, and a frequently encountered problem that arises in their implementation is the choice of model order. In Kerebin (2000, Sankhya: The Indian Journal of Statistics, …
View article: Performance-Enhancing Market Risk Calculation Through Gaussian Process Regression and Multi-Fidelity Modeling
Performance-Enhancing Market Risk Calculation Through Gaussian Process Regression and Multi-Fidelity Modeling Open
The market risk measurement of a trading portfolio in banks, specifically the practical implementation of the value-at-risk (VaR) and expected shortfall (ES) models, involves intensive recalls of the pricing engine. Machine learning algori…
View article: HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation Open
Transvaginal ultrasound is a critical imaging modality for evaluating cervical anatomy and detecting physiological changes. However, accurate segmentation of cervical structures remains challenging due to low contrast, shadow artifacts, an…
View article: Variable selection via thresholding
Variable selection via thresholding Open
Variable selection comprises an important step in many modern statistical inference procedures. In the regression setting, when estimators cannot shrink irrelevant signals to zero, covariates without relationships to the response often man…
View article: Predictability of incisal labiolingual inclination, overjet, and overbite changes, and the prevalence of open gingival embrasures in patients with mandibular incisor extraction treated with Invisalign: A retrospective cohort study
Predictability of incisal labiolingual inclination, overjet, and overbite changes, and the prevalence of open gingival embrasures in patients with mandibular incisor extraction treated with Invisalign: A retrospective cohort study Open
Extraction of a single mandibular incisor in conjunction with Invisalign treatment resulted in an underexpression of the predicted proclination of the mandibular incisors, overjet changes, and overbite reduction. The development of an OGE …
View article: Predictability of mesiodistal tip of maxillary central incisors in clear aligner therapy
Predictability of mesiodistal tip of maxillary central incisors in clear aligner therapy Open
The overall percentage accuracy of mesiodistal tip movements for MxCIs when using Invisalign SmartTrack aligners was 53.3%. The presence of attachments and the influence of a 1- vs 2-week wear schedule were not found to have any significan…
View article: On the large-sample limits of some Bayesian model evaluation statistics
On the large-sample limits of some Bayesian model evaluation statistics Open
Model selection and order selection problems frequently arise in statistical practice. A popular approach to addressing these problems in the frequentist setting involves information criteria based on penalised maxima of log-likelihoods fo…
View article: High-precision machine learning identifies a reproducible functional connectivity signature of autism spectrum diagnosis in a subset of individuals
High-precision machine learning identifies a reproducible functional connectivity signature of autism spectrum diagnosis in a subset of individuals Open
Background Discovery of predictive biomarkers is essential for understanding the neurobiological underpinnings of autism spectrum diagnosis (ASD) and improving identification. Resting-state functional connectivity analyses of individuals w…
View article: Revisiting Concentration Results for Approximate Bayesian Computation
Revisiting Concentration Results for Approximate Bayesian Computation Open
International audience
View article: Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms
Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms Open
Lattice-based post-quantum cryptography (PQC) has attracted significant attention as a promising solution to the security challenges posed by quantum computing. Unlike traditional cryptographic algorithms, lattice-based schemes are expecte…
View article: Bayesian nonparametric mixture of experts for inverse problems
Bayesian nonparametric mixture of experts for inverse problems Open
International audience
View article: PanIC: Consistent information criteria for general model selection problems
PanIC: Consistent information criteria for general model selection problems Open
Summary Model selection is a ubiquitous problem that arises in the application of many statistical and machine learning methods. In the likelihood and related settings, it is typical to use the method of information criteria (ICs) to choos…
View article: Reliable uncertainty estimation in emotion recognition in conversation using conformal prediction framework
Reliable uncertainty estimation in emotion recognition in conversation using conformal prediction framework Open
Emotion recognition in conversation (ERC) faces two major challenges: biased predictions and poor calibration. Classifiers often disproportionately favor certain emotion categories, such as neutral , due to the structural complexity of cla…
View article: Mesiodistal tip expression of mandibular anterior teeth in patients with mandibular incisor extraction treated with Invisalign aligners
Mesiodistal tip expression of mandibular anterior teeth in patients with mandibular incisor extraction treated with Invisalign aligners Open
A shortfall between the predicted and clinically achieved expression of mesiodistal tooth movement with Invisalign was found for the anterior teeth after a mandibular incisor extraction. The number of aligners, duration of aligner wear, an…
View article: The impact of data imputation on air quality prediction problem
The impact of data imputation on air quality prediction problem Open
With rising environmental concerns, accurate air quality predictions have become paramount as they help in planning preventive measures and policies for potential health hazards and environmental problems caused by poor air quality. Most o…
View article: A novel framework for crash frequency prediction: Geographic support vector regression based on agent-based activity models in Greater Melbourne
A novel framework for crash frequency prediction: Geographic support vector regression based on agent-based activity models in Greater Melbourne Open
The field of spatial analysis in traffic crash studies can often enhance predictive performance by addressing the inherent spatial dependence and heterogeneity in crash data. This research introduces the Geographical Support Vector Regress…
View article: Bayesian Likelihood Free Inference using Mixtures of Experts
Bayesian Likelihood Free Inference using Mixtures of Experts Open
International audience
View article: Treatment duration by morphology and location of impacted maxillary canines: A cone-beam computed tomography investigation
Treatment duration by morphology and location of impacted maxillary canines: A cone-beam computed tomography investigation Open
Increased total treatment duration of surgically exposed impacted maxillary canines is associated with increasing mesiopalatal canine crown rotation, worsening displacement, and hooked apical morphology.
View article: Consistent information criteria for regularized regression and loss-based learning problems
Consistent information criteria for regularized regression and loss-based learning problems Open
Many problems in statistics and machine learning can be formulated as model selection problems, where the goal is to choose an optimal parsimonious model among a set of candidate models. It is typical to conduct model selection by penalizi…
View article: Risk Bounds for Mixture Density Estimation on Compact Domains via the $h$-Lifted Kullback--Leibler Divergence
Risk Bounds for Mixture Density Estimation on Compact Domains via the $h$-Lifted Kullback--Leibler Divergence Open
We consider the problem of estimating probability density functions based on sample data, using a finite mixture of densities from some component class. To this end, we introduce the $h$-lifted Kullback--Leibler (KL) divergence as a genera…
View article: Development and characterization of microsatellite markers for population genetics of the cocoa pod borer Conopomorpha cramerella (Snellen) (Lepidoptera: Gracillaridae)
Development and characterization of microsatellite markers for population genetics of the cocoa pod borer Conopomorpha cramerella (Snellen) (Lepidoptera: Gracillaridae) Open
The cocoa pod borer (CPB) Conopomorpha cramerella (Snellen) (Lepidoptera: Gracillaridae) is one of the major constraints for cocoa production in South East Asia. In addition to cultural and chemical control methods, autocidal control tacti…
View article: Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders
Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders Open
View article: Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data
Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data Open
Mangroves are one of the most important types of wetlands in coastal areas and perform many different functions. Assessing the structure and function of mangroves is a premise for the management, monitoring and development of this most div…
View article: A non-asymptotic theory for model selection in a high-dimensional mixture of experts via joint rank and variable selection
A non-asymptotic theory for model selection in a high-dimensional mixture of experts via joint rank and variable selection Open
View article: A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection Open
View article: Multi-choice Explanations: A New Cooperative Game Structure for XAI
Multi-choice Explanations: A New Cooperative Game Structure for XAI Open
Cooperative game theorists propose the following attractive process: (1) capture the abstract value of each possible coalition of individuals, (2) write down some principles, or axioms, on how to distribute the value (e.g., allocate import…
View article: Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas Open
View article: Finite sample inference for empirical Bayesian methods
Finite sample inference for empirical Bayesian methods Open
In recent years, empirical Bayesian (EB) inference has become an attractive approach for estimation in parametric models arising in a variety of real‐life problems, especially in complex and high‐dimensional scientific applications. Howeve…