Fisher optimal subspace shrinkage for block variable selection with applications to NIR spectroscopic analysis

Lin, You-Wu; Deng, Baichuan; Wang, Lili; Xu, Qingsong; Liu, Lu; Liang, Yi‐Zeng

doi:10.1016/j.chemolab.2016.11.002

Cited by 27 publications

(14 citation statements)

References 47 publications

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“…In addition, this method saves substantial amount of time with a minimum redundant computing processes (Wang et al, ). Currently, this method, which is also known as Fisher's least squares method, has been extensively applied in many fields, including geosciences (Fournier et al, ), hydrology (Guo et al, ; Wang & Skirrow, ), ecology (Zhang et al, ), and biology (Lin et al, ).…”

Section: Methodsmentioning

confidence: 99%

Reservoir Operations to Mitigate Drought Effects With a Hedging Policy Triggered by the Drought Prevention Limiting Water Level

Chang

Guo

Wang

et al. 2019

Water Resources Research

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Severe drought events worldwide have considerably unfavorable effects on social and economic development. This paper proposes a hedging policy triggered by the seasonal drought prevention limiting water level (DPLWL) for reservoir operations during a drought event. By using this hedging policy, water resources managers can determine operating policies for drought emergence management according to specific drought conditions. A modeling framework that determines the seasonal DPLWL under different drought conditions is developed based on long-term hydrological and meteorological information and optimal reservoir operation schemes. In particular, Fisher's optimal partitioning algorithm is applied to identifying the seasonality of the DPLWL based on hydroclimatological factors and reservoir storage conditions. The multireservoir system in the Yellow River Basin is used as a case study to assess the performance of the hedging policy triggered by DPLWLs. The results show that DPLWL has a significant advantage over the standard reservoir operation rules when dealing with multireservoir operation for drought mitigation.Plain Language Summary Droughts, which can be a creeping disaster, can cause both natural environmental and social damage. This paper first proposes a hedging policy triggered by the drought prevention limiting water level (DPLWL) for reservoir operations to mitigate drought impacts. Furthermore, a new framework is developed to determine seasonal DPLWLs. This framework is applied to the Yellow River Basin, of which the water flow is regulated by a series of large reservoirs. This study extends the literature on hedging rules for reservoir operation by proposing a new methodology coupled with the DPLWLs, the multivariate integrated drought index (MIDI), and a reservoir operation model. The proposed approach is of great significance for decision makers in water resources management during droughts, particularly in the context of global warming.

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Section: Methodsmentioning

confidence: 99%

Reservoir Operations to Mitigate Drought Effects With a Hedging Policy Triggered by the Drought Prevention Limiting Water Level

Chang

Guo

Wang

et al. 2019

Water Resources Research

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“…Second and due to the use of bootstrap sampling that is inappropriate for the dependent data, the BOSS selects fewer variables, which causes missing some informative wavelengths. Third, it cannot avoid over-fitting problem BOSS uses RC, which is susceptible to noises [5], [6]. Most recently, three different methods have been developed and out-performed BOSS method.…”

Section: Introductionmentioning

confidence: 99%

A Bootstrapping Soft Shrinkage Approach and Interval Random Variables Selection Hybrid Model for Variable Selection in Near-Infrared Spectroscopy

et al. 2020

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“…Following the principles of selecting a spectral band, many interval wavelength selection methods have been put forward, such as interval PLS (iPLS), synergy iPLS (siPLS), backward iPLS (biPLS), moving window PLS (MWPLS), interval combination optimization (ICO) and so on. Recently, a series of random variable selection methods has been proposed, such as random forest, particle swarm optimization (PSO), grey wolf and the Fisher optimal partitions algorithm . Aiming at screening informative variables and obtaining reliable and interpretable information, variable selection methods are performed to obtain a better prediction accuracy when applied to quantitative analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a series of random variable selection methods has been proposed, such as random forest, 25 particle swarm optimization (PSO), 26 grey wolf 27 and the Fisher optimal partitions algorithm. 28 Aiming at screening informative variables and obtaining reliable and interpretable information, variable selection methods are performed to obtain a better prediction accuracy when applied to quantitative analysis. Two interval selection algorithms, iPLS and ICO, are utilized for determination of fipronil in acetamiprid formulation.…”

Section: Introductionmentioning

confidence: 99%

Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATR‐FTIR

Huang

Song

et al. 2019

Pest Management Science

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BACKGROUND Acetamiprid, as a low‐toxicity pesticide, has already been extensively used to increase plant production and quality. Although fipronil has been prohibited, it is usually illicitly added to acetamiprid due to its particular insecticidal action and effect, so it is highly desirable to obtain a rapid and effective method to detect its concentration. Mid‐infrared spectroscopy (MIR) combined with two variable selection methods, interval combination optimization (ICO) and interval partial least squares (iPLS), were used to determinate the prohibited addition of fipronil. RESULTS The full spectra for both ICO and iPLS were divided into 40 equal‐width intervals. Consequently, 45 and 135 characteristic variables were extracted from ICO and iPLS to establish the models. Compared with iPLS, the ICO model acquired a more suitable spectral region and as a result gained a higher prediction accuracy. Specifically, the ICO method selected the characteristic wavelengths ascribed to CF and CN (in five‐membered heterocyclics), iPLS chose the intervals associated with CF and SO. CONCLUSION Results revealed that MIR combined with ICO could be efficiently used for rapid identification of illegal addition and had great potential to provide on‐site pesticide quality control. © 2018 Society of Chemical Industry

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Fisher optimal subspace shrinkage for block variable selection with applications to NIR spectroscopic analysis

Cited by 27 publications

References 47 publications

Reservoir Operations to Mitigate Drought Effects With a Hedging Policy Triggered by the Drought Prevention Limiting Water Level

Reservoir Operations to Mitigate Drought Effects With a Hedging Policy Triggered by the Drought Prevention Limiting Water Level

A Bootstrapping Soft Shrinkage Approach and Interval Random Variables Selection Hybrid Model for Variable Selection in Near-Infrared Spectroscopy

Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATR‐FTIR

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