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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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65130194259 · May 202619922001200920172026
48 results for multivariate control charts

Support Vector Data Description (SVDD) is a machine learning technique used for single class classification and outlier detection. SVDD based K-chart was first introduced by Sun and Tsung for monitoring multivariate processes when underlying distribution of process parameters or quality characteristics depart from Norm…

2016-07-25abs ↗pdf ↗

The paper monitors artificial neural networks using embeddings and multivariate control charts.

problem Ensuring the stability of artificial neural networks during deployment.
method Monitoring the latent feature representation (embedding) of ANN outputs using multivariate control charts based on data depth and ranks.
result The proposed method effectively detects nonstationary data streams in ANN outputs.

Research uses deep learning and copulas to predict multivariate survival data.

problem Handling right-censored and correlated multivariate survival data.
method Integrates deep learning, copula functions, and survival analysis. Uses copula-based activation functions to model nonlinear dependencies.
result Enhanced prediction accuracy for multivariate survival responses.

New method detects bearing faults using multivariate statistical process control.

problem Early detection of bearing faults in rotating machinery.
method Multivariate statistical process control charts applied to Fourier transform features of fixed-time batches.
result Effectiveness in detecting bearing faults across different conditions.

A new control chart detects shifts in binary data streams quickly and reliably.

problem Early detection of small shifts in multiple binary data streams.
method Cumulative Standardized Binomial EWMA (CSB-EWMA) chart with exact variance derivation.
result Adaptive control limits ensure robust detection across different data distributions.

The classic N p chart gives a signal if the number of successes in a sequence of inde- pendent binary variables exceeds a control limit. Motivated by engineering applications in industrial image processing and, to some extent, financial statistics, we study a simple modification of this chart, which uses only the most …

2010-01-12abs ↗pdf ↗

The paper monitors stock market relationships using network analysis and statistical control charts.

problem Detecting abnormal changes in the financial market network structure.
method Network construction using distance methods, hierarchical clustering, and Shewhart control charts.
result Abnormal changes in financial market relationships can be detected using statistical process control.

The paper proves geometric and spectral alignment for deep neural networks.

problem Understanding the singular spectra of deep neural network layers.
method Proves deterministic quotient-geometric estimates for singular spectra of Frobenius-normalized layer factors.
result Exact power-law spectra form a trace-normalized Cartan orbit under Frobenius normalization.

A novel bootstrap method improves concept drift detection in predictive models.

problem Detecting changes in predictive relationships (concept drift) in data-driven applications.
method Developed a nested bootstrap procedure to calibrate control limits using the entire initial sample.
result The method yields more accurate baseline models and faster CL setup times.

In this paper, we give definitions of three kinds of minimal charts, and we investigate properties of minimal charts and establish fundamental theorems characterizing minimal charts. To classify charts with two or three crossings we use the fundamental theorems. In the future paper, we give an numeration of the charts …

2016-02-09abs ↗pdf ↗

This paper studies minimal charts of a specific type to understand embedded surfaces in 4-space.

problem Investigating minimal charts of a specific type to understand embedded surfaces in 4-space.
method Analyzing charts of type (5,2) to find a minimal chart.
result Identified a minimal chart of type (5,2) representing an embedded surface in 4-space.

Martingale Doppelgänger-Eval benchmarks VLMs on candlestick evidence vs. trend extrapolation

problem Auditing whether VLMs use chart evidence or trend extrapolation
method Proving formal limitations and designing controlled mechanisms
result Identifying regression coefficients for evidence vs. trend

Multivariate boosted trees improve forecasting and control by capturing correlated predictions.

problem Capturing multivariate target cross-correlations and applying structured penalties to predictions.
method A computationally efficient algorithm for fitting multivariate boosted trees.
result Multivariate trees outperform univariate counterparts in correlated prediction scenarios.

The paper studies 4-charts with three crossings and their equivalence to a specific knot.

problem Investigating the structure and equivalence of 4-charts with three crossings.
method Examining charts as oriented labeled graphs in a disk, focusing on acyclic components and equivalence through label-orientation-reflection.
result Any linear minimal 4-chart with three crossings is equivalent to a 2-twist spun trefoil knot.

Minimal charts of specific type contain unique subgraphs.

problem Characterizing minimal charts of type (m;2,3,2)(m;2,3,2).
method Analyzing the structure of charts and their subgraphs.
result Each of Γm+1Γ_{m+1} and Γm+2Γ_{m+2} contains one of three specific subgraphs.

In this paper, we shall show a condition for that a chart is C-move equivalent to the product of two charts, the union of two charts ΓΓ^* and ΓΓ^{**} which are contained in disks DD^* and DD^{**} with DD=D^*\cap D^{**}=\emptyset.

2016-03-27abs ↗pdf ↗

A method to fix radius distortion in generative models on curved spaces.

problem Distortion in geodesic radius measurements across different charts on Riemannian manifolds.
method Radial Compensation (RC) adjusts the tangent-space base distribution to match the geodesic radius law, improving model stability and interpretability.
result RC ensures that the model's geodesic radius matches the intended distribution, improving numerical stability and curvature interpretation.

Control charts have traditionally been used in industrial statistics, but are constantly seeing new areas of application, especially in the age of Industry 4.0. This paper introduces a new method, which is suitable for applications in the healthcare sector, especially for monitoring a health-characteristic of a patient…

2019-02-14abs ↗pdf ↗

Let ΓΓ be a chart. For each label mm, we denote by ΓmΓ_m the "subgraph" of ΓΓ consisting of all the edges of label mm and their vertices. Let ΓΓ be a minimal chart of type (m;3,3)(m;3,3). That is, a minimal chart ΓΓ has six white vertices, and both of ΓmΓm+1Γ_m\capΓ_{m+1} and Γm+1Γm+2Γ_{m+1}\capΓ_{m+2} consist of three white ve…

2016-09-27abs ↗pdf ↗

A 2-dimensional braid over an oriented surface-knot FF is presented by a graph called a chart on a surface diagram of FF. We consider 2-dimensional braids obtained by an addition of 1-handles equipped with chart loops. We introduce moves of 1-handles with chart loops, called 1-handle moves, and we investigate how muc…

2015-03-02abs ↗pdf ↗

Novel approach integrates Multivariate Square-root Lasso into Synthetic Control for high-dimensional data.

problem Challenges in practical implementation and computational efficiency of Synthetic Control method for high-dimensional disaggregated data.
method Integrates Multivariate Square-root Lasso into Synthetic Control framework.
result Demonstrates superior computational efficiency without compromising estimation accuracy.

Let ΓΓ be a chart, and we denote by ΓmΓ_m the union of all the edges of label mm. A chart ΓΓ is of type (3,2,2)(3,2,2) if there exists a label mm such that w(Γ)=7w(Γ)=7, w(ΓmΓm+1)=3w(Γ_m\capΓ_{m+1})=3, w(Γm+1Γm+2)=2w(Γ_{m+1}\capΓ_{m+2})=2, and w(Γm+2Γm+3)=2w(Γ_{m+2}\capΓ_{m+3})=2 where w(G)w(G) is the number of white vertices in GG. In this paper, we prov…

2019-01-31abs ↗pdf ↗

Dance Dance Revolution (DDR) is a popular rhythm-based video game. Players perform steps on a dance platform in synchronization with music as directed by on-screen step charts. While many step charts are available in standardized packs, players may grow tired of existing charts, or wish to dance to a song for which no …

2017-03-20abs ↗pdf ↗

Chart autoencoders learn latent features preserving manifold topology and geometry, with robust denoising capabilities.

problem Learning low-dimensional latent features of high-dimensional data sampled near a manifold.
method Chart autoencoders encode data into latent features on charts, preserving manifold topology and geometry.
result Chart autoencoders achieve a squared generalization error of n2d+2log4nn^{-\frac{2}{d+2}}\log^4 n under proper network architectures.

Channel charting (CC) has been proposed recently to enable logical positioning of user equipments (UEs) in the neighborhood of a multi-antenna base-station solely from channel-state information (CSI). CC relies on dimensionality reduction of high-dimensional CSI features in order to construct a channel chart that captu…

2019-08-07abs ↗pdf ↗

Discusses MultiFIT for multivariate dependence, comparing it to HSIC tests.

problem Comparing Multiscale Fisher's Independence Test (MultiFIT) to HSIC tests for multivariate dependence.
method Compares MultiFIT to HSIC tests, highlighting exact level control and performance limitations.
result Observes performance limitations of MultiFIT in terms of test power.

We give a combinatorial description of closed curves on oriented surfaces in terms of certain permutations, called charts. We describe automorphisms of curves in terms of charts and compute the total number of curves counted with appropriate weights. We also discuss relations between curves, Grothendieck dessins d'enfa…

2004-02-02abs ↗pdf ↗

Given a 2-crossing minimal chart ΓΓ, a minimal chart with two crossings, set α=min{ i  α=\min\{~i~|~there exists an edge of label ii containing a white vertex}\}, and β=max{ i  β=\max\{~i~|~there exists an edge of label ii containing a white vertex}\}. In this paper we study the structure of a neighbourhood of ΓαΓβΓ_α\cupΓ_β, and p…

2017-09-26abs ↗pdf ↗

The paper proves uniform Temple charts and applies them to null distance metrics.

problem Proving the existence of uniform Temple charts and their applications to null distance metrics.
method Constructing uniform Temple charts and estimating gradients of optical functions; applying these charts to study spacetime metrics.
result Proves (N,d^τ)(N, \hat{d}_τ) is a rectifiable metric space and applies a Lorentzian isometry theorem.

This is the first step of the two steps to enumerate the minimal charts with two crossings. For a label mm of a chart ΓΓ we denote by ΓmΓ_m the union of all the edges of label mm and their vertices. For a minimal chart ΓΓ with exactly two crossings, we can show that the two crossings are contained in ΓαΓβΓ_α\capΓ_β f…

2017-04-05abs ↗pdf ↗