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Variational Bayes inference for hidden Markov diagnostic classification models
This study developed an effective variational Bayes (VB) inference method for hidden Markov longitudinal general DCMs. The simulations performed in this study verified the validity of the proposed algorithm for satisfactorily recovering true parameters. Simulation and applied data analyses were conducted to compare the proposed VB method to Markov chain Monte Carlo (MCMC) sampling. The results revealed that the parameter estimates provided by the VB method were consistent with the MCMC method with the additional benefit of a faster estimation time. The comparative simulation also indicated differences between the two metho...
Source: The British Journal of Mathematical and Statistical Psychology - May 30, 2023 Category: Statistics Authors: Kazuhiro Yamaguchi Alfonso J Martinez Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research

Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang
Br J Math Stat Psychol. 2023 May 11. doi: 10.1111/bmsp.12306. Online ahead of print.NO ABSTRACTPMID:37170618 | DOI:10.1111/bmsp.12306 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - May 12, 2023 Category: Statistics Authors: Yutaka Kano Source Type: research