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1. Iterative Alpha Expansion for estimating gradient‐sparse signals from linear measurements

Author:
Xu, Sheng; Fan, Zhou
Source:
Journal of the Royal Statistical Society 2021 v.83 no.2 pp. 271-292
ISSN:
1369-7412
Subject:
least squares,   etc   ; algorithms; geometry;     Show all 3 Subjects
Abstract:
... We consider estimating a piecewise‐constant image, or a gradient‐sparse signal on a general graph, from noisy linear measurements. We propose and study an iterative algorithm to minimize a penalized least‐squares objective, with a penalty given by the “ℓ0‐norm” of the signal’s discrete graph gradient. The method uses a non‐convex variant of proximal gradient descent, applying the alpha‐expansion p ...
DOI:
10.1111/rssb.12407

2. Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method

Author:
Kirkby, J. Lars; Leitao, Álvaro; Nguyen, Duy
Source:
Computational statistics & data analysis 2021 v.159 pp. 107202
ISSN:
0167-9473
Subject:
least squares,   etc   ; data analysis; methodology;     Show all 3 Subjects
Abstract:
... A general and efficient nonparametric density estimation procedure for local bases, including B-splines, is proposed, which employs a novel statistical Galerkin method combined with basis duality theory. To select the bandwidth, an efficient cross-validation procedure is introduced, based on closed-form expressions in terms of the primal and dual B-spline basis. By utilizing a closed-form expressi ...
DOI:
10.1016/j.csda.2021.107202

3. The Symmetry of GPS Orbit Ascending Nodes

Author:
Dabrowski, Pawel S.
Source:
Remote Sensing 2021 v.13 no.3
ISSN:
2072-4292
Subject:
least squares,   etc   ; algorithms; modernization; satellites;     Show all 4 Subjects
Abstract:
... Theoretical nominal GPS orbits are parallel and share six ascending nodes of orbital planes. However, due to the perturbations and continuous modernization of the system, this state does not occur. The configuration of satellite orbits is continuously monitored by the control segment and presented regularly in the form of a GPS almanac. Almanacs, however, do not contain a parameter defining the co ...
DOI:
10.3390/rs13030387

4. Relationship between manufacturing complexity, strategy, and performance of manufacturing industries in Indonesia

Author:
Saptioratri Budiono, Hendri Dwi; Nurcahyo, Rahmat; Habiburrahman, Muhammad
Source:
Heliyon 2021 v.7 no.6 pp. e07225
ISSN:
2405-8440
Subject:
least squares,   etc   ; equations; sample size; Indonesia;     Show all 4 Subjects
Abstract:
... Previous research has emphasized the need to further investigate the impact of manufacturing complexity on company strategies and performance in developing countries' manufacturing sector. Indonesia is one such developing country where this relationship has yet to be adequately studied. The manufacturing industry sector is expected to drive Indonesia's economic growth to achieve the targeted avera ...
DOI:
10.1016/j.heliyon.2021.e07225

5. Are you looking for special menu? An examination of variety seeking behavior for Promotional Menu (VaPM) Model

Author:
Kim, Young Hoon; Sauerwald, Pla; Sukpatch, Kassara
Source:
International journal of gastronomy and food science 2021 v.23 pp. 100295
ISSN:
1878-450X
Subject:
least squares,   etc   ; consumer behavior; gastronomy; models; restaurants;     Show all 5 Subjects
Abstract:
... As people seek increased food variety at restaurants, offering a promotional menu might be an alternative strategy to assist customers in fulfilling their variety seeking desires. Although the concept of variety seeking behavior has been studied in consumer behavior research, no study was found that explored customers' variety seeking behavior using a promotional menu with the results tested with ...
DOI:
10.1016/j.ijgfs.2020.100295

6. Fertilizer sphericity measuring device based on equatorial and meridian circles

Author:
Zhang, Hongjian; Mu, Junlin; Liu, Shuangxi; Wang, Zhen; Chu, Guikun; Wang, Jinxing
Source:
Information processing in agriculture 2021 v.8 no.1 pp. 52-63
ISSN:
2214-3173
Subject:
least squares,   etc   ; computer vision; fertilizers; measuring devices;     Show all 4 Subjects
Abstract:
... Fertilizer sphericity is an important assessment index of appearance quality that affects the fertilization effect. A fertilizer sphericity measuring device based on machine vision was designed aimed at low precision and heavy workload of manual fertilizer measurement, and high cost and complicated operation of high precision measuring instruments. A fertilizer sphericity measuring method based on ...
DOI:
10.1016/j.inpa.2020.04.003

7. Robust estimation for semi-functional linear regression models

Author:
Boente, Graciela; Salibian-Barrera, Matías; Vena, Pablo
Source:
Computational statistics & data analysis 2020 v.152 pp. 107041
ISSN:
0167-9473
Subject:
least squares,   etc   ; models; prediction;     Show all 3 Subjects
Abstract:
... Semi-functional linear regression models postulate a linear relationship between a scalar response and a functional covariate, and also include a non-parametric component involving a univariate explanatory variable. It is of practical importance to obtain estimators for these models that are robust against high-leverage outliers, which are generally difficult to identify and may cause serious dama ...
DOI:
10.1016/j.csda.2020.107041

8. Rapid and nondestructive prediction of amylose and amylopectin contents in sorghum based on hyperspectral imaging

Author:
Huang, Haoping; Hu, Xinjun; Tian, Jianping; Jiang, Xinna; Sun, Ting; Luo, Huibo; Huang, Dan
Source:
Food chemistry 2021 v.359 pp. 129954
ISSN:
0308-8146
Subject:
least squares,   etc   ; algorithms; amylopectin; amylose; food chemistry; forests; light; prediction;     Show all 8 Subjects
Abstract:
... The contents of amylose and amylopectin in sorghum directly affects the quality and yield of liquor. Hyperspectral imaging (HSI) is an emerging technology widely applied in the content analysis of food ingredients. In this study, the effects of different preprocessing methods on visible-light and near-infrared spectral data were analyzed, and the prediction accuracies of these spectral data were c ...
DOI:
10.1016/j.foodchem.2021.129954

9. A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors

Author:
Zhou, Jianhong; Crow, Wade T.; Wu, Zhiyong; Dong, Jianzhi; He, Hai; Feng, Huihui
Source:
Remote sensing of environment 2021 v.263 pp. 112509
ISSN:
0034-4257
Subject:
least squares,   etc   ; environment; soil water; space and time;     Show all 4 Subjects
Abstract:
... Random error in remotely sensed (RS) and modeled soil moisture (SM) products is typically assumed to be statistically stationary for the purpose of SM merging applications. In reality, such error is often non-stationary, which may undermine applications based on a stationary assumption. Here, we introduce a dual time-space (2D) SM merging approach that considers a class of inferred error that is n ...
DOI:
10.1016/j.rse.2021.112509

10. Continuous record Laplace-based inference about the break date in structural change models

Author:
Casini, Alessandro; Perron, Pierre
Source:
Journal of econometrics 2021 v.224 no.1 pp. 3-21
ISSN:
0304-4076
Subject:
least squares,   etc   ; econometric models; economic analysis; economic theory; risk;     Show all 5 Subjects
Abstract:
... Building upon the continuous record asymptotic framework recently introduced by Casini and Perron (2020a) for inference in structural change models, we propose a Laplace-based (Quasi-Bayes) procedure for the construction of the estimate and confidence set for the date of a structural change. It is defined by an integration rather than an optimization-based method. A transformation of the least-squ ...
DOI:
10.1016/j.jeconom.2020.05.020

11. Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms

Author:
Kensert, Alexander; Collaerts, Gilles; Efthymiadis, Kyriakos; Van Broeck, Peter; Desmet, Gert; Cabooter, Deirdre
Source:
Journal of chromatography 2021 v.1646 pp. 462093
ISSN:
0021-9673
Subject:
least squares,   etc   ; chemical species; chromatography; data collection; wavelet;     Show all 5 Subjects
Abstract:
... Enhancement of chromatograms, such as the reduction of baseline noise and baseline drift, is often essential to accurately detect and quantify analytes in a mixture. Current methods have been well studied and adopted for decades and have assisted researchers in obtaining reliable results. However, these methods rely on relatively simple statistics of the data (chromatograms) which in some cases re ...
DOI:
10.1016/j.chroma.2021.462093

12. A combination of near‐infrared hyperspectral imaging with two‐dimensional correlation analysis for monitoring the content of biogenic amines in mutton

Author:
Fan, Naiyun; Liu, Guishan; Wan, Guoling; Ban, Jingjing; Yuan, Ruirui; Sun, Yourui; Li, Yue
Source:
International journal of food science & technology 2021 v.56 no.6 pp. 3066-3075
ISSN:
0950-5423
Subject:
least squares,   etc   ; cold storage; food science; models; mutton; prediction;     Show all 6 Subjects
Abstract:
... The study investigated the feasibility of using a combination of near‐infrared hyperspectral imaging (NIR‐HSI) with two‐dimensional correlation (2DCOS) analysis for rapid and non‐destructive determination of the content of biogenic amines in mutton during refrigerated storage. Total contents of biogenic amines (TBA) were used as the perturbation. By analysing the synchronous and asynchronous two‐d ...
DOI:
10.1111/ijfs.14950

13. A Simple Optimization Workflow to Enable Precise and Accurate Imputation of Missing Values in Proteomic Data Sets

Author:
Dabke, Kruttika; Kreimer, Simion; Jones, Michelle R.; Parker, Sarah J.
Source:
Journal of proteome research 2021 v.20 no.6 pp. 3214-3229
ISSN:
1535-3907
Subject:
least squares,   etc   ; data collection; neoplasms; proteome; proteomics; research;     Show all 6 Subjects
Abstract:
... Missing values in proteomic data sets have real consequences on downstream data analysis and reproducibility. Although several imputation methods exist to handle missing values, no single imputation method is best suited for a diverse range of data sets, and no clear strategy exists for evaluating imputation methods for clinical DIA-MS data sets, especially at different levels of protein quantific ...
DOI:
10.1021/acs.jproteome.1c00070

14. Comparing performance of iterative and non-iterative algorithms on various feature schemes for arrhythmia analysis

Author:
Zhang, Yatao; Ma, Zhenguo; Song, Jiarui; Kong, Xiaoming; Guo, Ziyu; Jiang, Bin
Source:
Methods 2021
ISSN:
1046-2023
Subject:
least squares,   etc   ; arrhythmia; principal component analysis; support vector machines;     Show all 4 Subjects
Abstract:
... To evaluate the performance of the classic machine learning algorithms and the effectiveness of various features, the iterative algorithms (i.e., support vector machine (SVM), and least-squares SVM (LS-SVM)) and non-iterative algorithms (i.e., random forest (RF) and naive bayes (NB)) for six feature schemes were performed to classify the ECG recordings. The ECG recordings were initially filtered w ...
DOI:
10.1016/j.ymeth.2021.04.006

15. Method comparison between real-time spectral and laboratory based measurements of moisture content and CIELAB color pattern during dehydration of beef slices

Author:
von Gersdorff, Gardis J.E.; Kulig, Boris; Hensel, Oliver; Sturm, Barbara
Source:
Journal of food engineering 2021 v.294 pp. 110419
ISSN:
0260-8774
Subject:
least squares,   etc   ; beef; cattle; color; models; water content;     Show all 6 Subjects
Abstract:
... In this study, partial least square (PLS) regression models were developed to predict moisture content (MC) (model 1), CIELAB color (model 2) or all four parameters (model 3) of beef slices during drying. Model development was based on data from two measurement campaigns of MC (%), CIELAB L*, a* and b*values and hyperspectral data in the range of 500–1009 nm. To increase the robustness of the mode ...
DOI:
10.1016/j.jfoodeng.2020.110419

16. Prediction of pelargonidin-3-glucoside in strawberries according to the postharvest distribution period of two ripening stages using VIS-NIR and SWIR hyperspectral imaging technology

Author:
Cho, Jeong-Seok; Lim, Jeong Ho; Park, Kee Jai; Choi, Jeong Hee; Ok, Gyeong Sik
Source:
Lebensmittel-Wissenschaft + [i.e. und] Technologie 2021 v.141 pp. 110875
ISSN:
0023-6438
Subject:
least squares,   etc   ; consumer acceptance; models; prediction; spatial data; strawberries;     Show all 6 Subjects
Abstract:
... The quality characteristics and consumer acceptability of strawberries depend on their ripening stages. Pelargodinin-3-glucoside (P3G) is the main anthocyanin in strawberries and changes during postharvest distribution. Hyperspectral imaging technology (HSI), which covers the ranges of visible-near infrared (VIS-NIR) and shortwave infrared (SWIR) light, was used to predict the P3G of strawberries ...
DOI:
10.1016/j.lwt.2021.110875

17. Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal

Author:
Guadalajara, Natividad; López, Miguel Ángel; Iftimi, Adina; Usai, Antonio
Source:
Land 2021 v.10 no.3
ISSN:
2073-445X
Subject:
least squares,   etc   ; econometrics; economic crises; education; land; mortgages; Spain;     Show all 7 Subjects
Abstract:
... As house mortgage appraisal values have played a leading role in the 2007–2012 financial crisis, it is important to develop robust mass appraisal models that correctly estimate these values. The present paper intends to propose a methodology to examine the spatial distribution of house mortgage appraisal values. To do so, we analyzed the effect that these values, cadastral urban land values, chara ...
DOI:
10.3390/land10030250

18. Age, growth, and mortality rate of the yellow goosefish Lophius litulon (Jordan, 1902) in the Yellow Sea

Author:
Sun, Yu; Zhang, Chi; Tian, Yongjun; Watanabe, Yoshiro
Source:
Journal of oceanology and limnology 2021 v.39 no.2 pp. 732-740
ISSN:
2096-5508
Subject:
least squares,   etc   ; Lophius litulon; limnology; mortality; oceanography; Jordan; Yellow Sea;     Show all 7 Subjects
Abstract:
... With the decline in the most fisheries resources in the Yellow Sea, the yellow goosefish Lophius litulon has increased in commercial and ecological importance in recent years. We studied the length distribution, length-weight relationship, age composition, growth pattern, mortality, and exploitation rates of the yellow goosefish in the Yellow Sea. Total length (TL) of females and males ranged from ...
DOI:
10.1007/s00343-019-9216-4

19. Comparing different methods for estimating kinetic parameters of whey protein heat-induced denaturation in infant milk formulas

Author:
Leite, Bruno; Croguennec, Thomas; Halabi, Amira; Costa Junior, Esly Ferreira da
Source:
Journal of food engineering 2021 v.292 pp. 110272
ISSN:
0260-8774
Subject:
least squares,   etc   ; denaturation; lactoferrin; milk; protein denaturation; variance; whey protein;     Show all 7 Subjects
Abstract:
... Modeling the heat-induced denaturation of milk proteins is a relevant issue because of heating processes in the manufacturing of several dairy products. In this study, four different parameter estimation methods were evaluated to estimate the kinetic parameters of the heat-induced protein denaturation of β-lactoglobulin (β-LG) and lactoferrin (LF) in infant milk formulas (IMF). The methods were: a ...
DOI:
10.1016/j.jfoodeng.2020.110272

20. Complete subset least squares support vector regression

Author:
Qiu, Yue
Source:
Economics letters 2021 v.200 pp. 109737
ISSN:
0165-1765
Subject:
least squares,   etc   ; Monte Carlo method; blockchain; economics; methodology; paper; prediction;     Show all 7 Subjects
Abstract:
... In this paper, we propose a new method for combining forecasts based on complete subset least squares support vector regressions (LSSVRCS) that is applicable to both linear and nonlinear data generation processes. Our LSSVRCS is very flexible that it can incorporate other methods, like ridge regression or complete subset regression, as special cases. In a Monte Carlo simulation experiment, our LSS ...
DOI:
10.1016/j.econlet.2021.109737