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Relation of neuropathology with cognitive decline among older persons without dementia.

Frontiers in aging neuroscience

Boyle PA, Yu L, Wilson RS, Schneider JA, Bennett DA.
PMID: 24058343
Front Aging Neurosci. 2013 Sep 09;5:50. doi: 10.3389/fnagi.2013.00050. eCollection 2013.

OBJECTIVE: Although it is now widely accepted that dementia has a long preclinical phase during which neuropathology accumulates and cognition declines, little is known about the relation of neuropathology with the longitudinal rate of change in cognition among older...

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Boyle PA, Yu L, Wilson RS, et al. Relation of neuropathology with cognitive decline among older persons without dementia. Front Aging Neurosci. 2013;5:50doi: 10.3389/fnagi.2013.00050.
Boyle, P. A., Yu, L., Wilson, R. S., Schneider, J. A., & Bennett, D. A. (2013). Relation of neuropathology with cognitive decline among older persons without dementia. Frontiers in aging neuroscience, 550. https://doi.org/10.3389/fnagi.2013.00050
Boyle, Patricia A, et al. "Relation of neuropathology with cognitive decline among older persons without dementia." Frontiers in aging neuroscience vol. 5 (2013): 50. doi: https://doi.org/10.3389/fnagi.2013.00050
Boyle PA, Yu L, Wilson RS, Schneider JA, Bennett DA. Relation of neuropathology with cognitive decline among older persons without dementia. Front Aging Neurosci. 2013 Sep 09;5:50. doi: 10.3389/fnagi.2013.00050. eCollection 2013. PMID: 24058343; PMCID: PMC3766823.
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Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.

Psychosomatic medicine

Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
PMID: 29280852
Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555.

OBJECTIVE: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.METHODS: We...

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Haljas K, Amare AT, Alizadeh BZ, et al. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018;80(3):242-251doi: 10.1097/PSY.0000000000000555.
Haljas, K., Amare, A. T., Alizadeh, B. Z., Hsu, Y. H., Mosley, T., Newman, A., Murabito, J., Tiemeier, H., Tanaka, T., van Duijn, C., Ding, J., Llewellyn, D. J., Bennett, D. A., Terracciano, A., Launer, L., Ladwig, K. H., Cornelis, M. C., Teumer, A., Grabe, H., Kardia, S. L. R., Ware, E. B., Smith, J. A., Snieder, H., Eriksson, J. G., Groop, L., Räikkönen, K., & Lahti, J. (2018). Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosomatic medicine, 80(3), 242-251. https://doi.org/10.1097/PSY.0000000000000555
Haljas, Kadri, et al. "Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits." Psychosomatic medicine vol. 80,3 (2018): 242-251. doi: https://doi.org/10.1097/PSY.0000000000000555
Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555. PMID: 29280852; PMCID: PMC6051528.
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Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.].

Alzheimer's & dementia : the journal of the Alzheimer's Association

[No authors listed]
PMID: 30905591
Alzheimers Dement. 2019 Apr;15(4):604. doi: 10.1016/j.jalz.2019.03.002. Epub 2019 Mar 21.

No abstract available.

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Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimers Dement. 2019;15(4):604doi: 10.1016/j.jalz.2019.03.002.
(2019). Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimer's & dementia : the journal of the Alzheimer's Association, 15(4), 604. https://doi.org/10.1016/j.jalz.2019.03.002
"Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]." Alzheimer's & dementia : the journal of the Alzheimer's Association vol. 15,4 (2019): 604. doi: https://doi.org/10.1016/j.jalz.2019.03.002
Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimers Dement. 2019 Apr;15(4):604. doi: 10.1016/j.jalz.2019.03.002. Epub 2019 Mar 21. PMID: 30905591; PMCID: PMC6652195.
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Alzheimer's loci: epigenetic associations and interaction with genetic factors.

Annals of clinical and translational neurology

Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, Bennett DA, De Jager PL.
PMID: 26125039
Ann Clin Transl Neurol. 2015 Jun;2(6):636-47. doi: 10.1002/acn3.201. Epub 2015 Apr 24.

OBJECTIVE: We explore the role of DNA methylation in Alzheimer's disease (AD). To elucidate where DNA methylation falls along the causal pathway linking risk factors to disease, we examine causal models to assess its role in the pathology of...

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Chibnik LB, Yu L, Eaton ML, et al. Alzheimer's loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol. 2015;2(6):636-47doi: 10.1002/acn3.201.
Chibnik, L. B., Yu, L., Eaton, M. L., Srivastava, G., Schneider, J. A., Kellis, M., Bennett, D. A., & De Jager, P. L. (2015). Alzheimer's loci: epigenetic associations and interaction with genetic factors. Annals of clinical and translational neurology, 2(6), 636-47. https://doi.org/10.1002/acn3.201
Chibnik, Lori B, et al. "Alzheimer's loci: epigenetic associations and interaction with genetic factors." Annals of clinical and translational neurology vol. 2,6 (2015): 636-47. doi: https://doi.org/10.1002/acn3.201
Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, Bennett DA, De Jager PL. Alzheimer's loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol. 2015 Jun;2(6):636-47. doi: 10.1002/acn3.201. Epub 2015 Apr 24. PMID: 26125039; PMCID: PMC4479524.
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The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages.

Brain communications

Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S.
PMID: 33345186
Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020.

Brain-derived neurotrophic factor (BDNF) plays an important role in brain development and function. Substantial amounts of BDNF are present in peripheral blood, and may serve as biomarkers for Alzheimer's disease incidence as well as targets for intervention to reduce...

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Li S, Weinstein G, Zare H, et al. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020;2(2):fcaa176doi: 10.1093/braincomms/fcaa176.
Li, S., Weinstein, G., Zare, H., Teumer, A., Völker, U., Friedrich, N., Knol, M. J., Satizabal, C. L., Petyuk, V. A., Adams, H. H. H., Launer, L. J., Bennett, D. A., De Jager, P. L., Grabe, H. J., Ikram, M. A., Gudnason, V., Yang, Q., & Seshadri, S. (2020). The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain communications, 2(2), fcaa176. https://doi.org/10.1093/braincomms/fcaa176
Li, Shuo, et al. "The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages." Brain communications vol. 2,2 (2020): fcaa176. doi: https://doi.org/10.1093/braincomms/fcaa176
Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020. PMID: 33345186; PMCID: PMC7734441.
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Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons.

JAMA psychiatry

Yu L, Tasaki S, Schneider JA, Arfanakis K, Duong DM, Wingo AP, Wingo TS, Kearns N, Thatcher GRJ, Seyfried NT, Levey AI, De Jager PL, Bennett DA.
PMID: 32609320
JAMA Psychiatry. 2020 Nov 01;77(11):1172-1180. doi: 10.1001/jamapsychiatry.2020.1807.

IMPORTANCE: Identifying genes and proteins for cognitive resilience (ie, targets that may be associated with slowing or preventing cognitive decline regardless of the presence, number, or combination of common neuropathologic conditions) provides a complementary approach to developing novel therapeutics...

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Yu L, Tasaki S, Schneider JA, et al. Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons. JAMA Psychiatry. 2020;77(11):1172-1180doi: 10.1001/jamapsychiatry.2020.1807.
Yu, L., Tasaki, S., Schneider, J. A., Arfanakis, K., Duong, D. M., Wingo, A. P., Wingo, T. S., Kearns, N., Thatcher, G. R. J., Seyfried, N. T., Levey, A. I., De Jager, P. L., & Bennett, D. A. (2020). Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons. JAMA psychiatry, 77(11), 1172-1180. https://doi.org/10.1001/jamapsychiatry.2020.1807
Yu, Lei, et al. "Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons." JAMA psychiatry vol. 77,11 (2020): 1172-1180. doi: https://doi.org/10.1001/jamapsychiatry.2020.1807
Yu L, Tasaki S, Schneider JA, Arfanakis K, Duong DM, Wingo AP, Wingo TS, Kearns N, Thatcher GRJ, Seyfried NT, Levey AI, De Jager PL, Bennett DA. Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons. JAMA Psychiatry. 2020 Nov 01;77(11):1172-1180. doi: 10.1001/jamapsychiatry.2020.1807. PMID: 32609320; PMCID: PMC7330835.
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Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons.

Brain pathology (Zurich, Switzerland)

Agrawal S, Yu L, Kapasi A, James BD, Arfanakis K, Barnes LL, Bennett DA, Nag S, Schneider JA.
PMID: 33624322
Brain Pathol. 2021 May;31(3):e12939. doi: 10.1111/bpa.12939. Epub 2021 Feb 23.

Limbic-predominant age-related transactive response DNA-binding protein 43 (TDP-43) encephalopathy neuropathologic change (LATE-NC) and microvascular pathologies, including microinfarcts, cerebral amyloid angiopathy (CAA), and arteriolosclerosis are common in old age. A relationship between LATE-NC and arteriolosclerosis has been reported in some...

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Agrawal S, Yu L, Kapasi A, et al. Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons. Brain Pathol. 2021;31(3):e12939doi: 10.1111/bpa.12939.
Agrawal, S., Yu, L., Kapasi, A., James, B. D., Arfanakis, K., Barnes, L. L., Bennett, D. A., Nag, S., & Schneider, J. A. (2021). Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons. Brain pathology (Zurich, Switzerland), 31(3), e12939. https://doi.org/10.1111/bpa.12939
Agrawal, Sonal, et al. "Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons." Brain pathology (Zurich, Switzerland) vol. 31,3 (2021): e12939. doi: https://doi.org/10.1111/bpa.12939
Agrawal S, Yu L, Kapasi A, James BD, Arfanakis K, Barnes LL, Bennett DA, Nag S, Schneider JA. Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons. Brain Pathol. 2021 May;31(3):e12939. doi: 10.1111/bpa.12939. Epub 2021 Feb 23. PMID: 33624322; PMCID: PMC8363209.
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Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors.

Neuron

Lagomarsino VN, Pearse RV, Liu L, Hsieh YC, Fernandez MA, Vinton EA, Paull D, Felsky D, Tasaki S, Gaiteri C, Vardarajan B, Lee H, Muratore CR, Benoit CR, Chou V, Fancher SB, He A, Merchant JP, Duong DM, Martinez H, Zhou M, Bah F, Vicent MA, Stricker JMS, Xu J, Dammer EB, Levey AI, Chibnik LB, Menon V, Seyfried NT, De Jager PL, Noggle S, Selkoe DJ, Bennett DA, Young-Pearse TL.
PMID: 34473944
Neuron. 2021 Nov 03;109(21):3402-3420.e9. doi: 10.1016/j.neuron.2021.08.003. Epub 2021 Sep 01.

We have generated a controlled and manipulable resource that captures genetic risk for Alzheimer's disease: iPSC lines from 53 individuals coupled with RNA and proteomic profiling of both iPSC-derived neurons and brain tissue of the same individuals. Data collected...

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Lagomarsino VN, Pearse RV, Liu L, et al. Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. Neuron. 2021;109(21):3402-3420.e9doi: 10.1016/j.neuron.2021.08.003.
Lagomarsino, V. N., Pearse, R. V., Liu, L., Hsieh, Y. C., Fernandez, M. A., Vinton, E. A., Paull, D., Felsky, D., Tasaki, S., Gaiteri, C., Vardarajan, B., Lee, H., Muratore, C. R., Benoit, C. R., Chou, V., Fancher, S. B., He, A., Merchant, J. P., Duong, D. M., Martinez, H., Zhou, M., Bah, F., Vicent, M. A., Stricker, J. M. S., Xu, J., Dammer, E. B., Levey, A. I., Chibnik, L. B., Menon, V., Seyfried, N. T., De Jager, P. L., Noggle, S., Selkoe, D. J., Bennett, D. A., & Young-Pearse, T. L. (2021). Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. Neuron, 109(21), 3402-3420.e9. https://doi.org/10.1016/j.neuron.2021.08.003
Lagomarsino, Valentina N, et al. "Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors." Neuron vol. 109,21 (2021): 3402-3420.e9. doi: https://doi.org/10.1016/j.neuron.2021.08.003
Lagomarsino VN, Pearse RV, Liu L, Hsieh YC, Fernandez MA, Vinton EA, Paull D, Felsky D, Tasaki S, Gaiteri C, Vardarajan B, Lee H, Muratore CR, Benoit CR, Chou V, Fancher SB, He A, Merchant JP, Duong DM, Martinez H, Zhou M, Bah F, Vicent MA, Stricker JMS, Xu J, Dammer EB, Levey AI, Chibnik LB, Menon V, Seyfried NT, De Jager PL, Noggle S, Selkoe DJ, Bennett DA, Young-Pearse TL. Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. Neuron. 2021 Nov 03;109(21):3402-3420.e9. doi: 10.1016/j.neuron.2021.08.003. Epub 2021 Sep 01. PMID: 34473944; PMCID: PMC8571042.
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Complex Profiles of Cerebrovascular Disease Pathologies in the Aging Brain and Their Relationship With Cognitive Decline.

Stroke

Lamar M, Leurgans S, Kapasi A, Barnes LL, Boyle PA, Bennett DA, Arfanakis K, Schneider JA.
PMID: 34601898
Stroke. 2022 Jan;53(1):218-227. doi: 10.1161/STROKEAHA.121.034814. Epub 2021 Oct 04.

BACKGROUND AND PURPOSE: Cerebrovascular disease (CVD) pathologies including vessel disease (atherosclerosis, arteriolosclerosis, and cerebral amyloid angiopathy) and tissue injury (macroinfarcts and microinfarcts) each contribute to Alzheimer and other forms of dementia. CVD is often a complex mix of neuropathologies,...

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Lamar M, Leurgans S, Kapasi A, et al. Complex Profiles of Cerebrovascular Disease Pathologies in the Aging Brain and Their Relationship With Cognitive Decline. Stroke. 2021;53(1):218-227doi: 10.1161/STROKEAHA.121.034814.
Lamar, M., Leurgans, S., Kapasi, A., Barnes, L. L., Boyle, P. A., Bennett, D. A., Arfanakis, K., & Schneider, J. A. (2022). Complex Profiles of Cerebrovascular Disease Pathologies in the Aging Brain and Their Relationship With Cognitive Decline. Stroke, 53(1), 218-227. https://doi.org/10.1161/STROKEAHA.121.034814
Lamar, Melissa, et al. "Complex Profiles of Cerebrovascular Disease Pathologies in the Aging Brain and Their Relationship With Cognitive Decline." Stroke vol. 53,1 (2022): 218-227. doi: https://doi.org/10.1161/STROKEAHA.121.034814
Lamar M, Leurgans S, Kapasi A, Barnes LL, Boyle PA, Bennett DA, Arfanakis K, Schneider JA. Complex Profiles of Cerebrovascular Disease Pathologies in the Aging Brain and Their Relationship With Cognitive Decline. Stroke. 2022 Jan;53(1):218-227. doi: 10.1161/STROKEAHA.121.034814. Epub 2021 Oct 04. PMID: 34601898; PMCID: PMC8712368.
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Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer's Disease.

Diagnostics (Basel, Switzerland)

Madrid L, Labrador SC, González-Pérez A, Sáez ME, The Alzheimer's Disease Neuroimaging Initiative Adni.
PMID: 34943540
Diagnostics (Basel). 2021 Dec 08;11(12). doi: 10.3390/diagnostics11122303.

There is an urgent need to identify biomarkers for Alzheimer's disease (AD), but the identification of reliable blood-based biomarkers has proven to be much more difficult than initially expected. The current availability of high-throughput multi-omics data opens new possibilities...

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Madrid L, Labrador SC, González-Pérez A, et al. Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer's Disease. Diagnostics (Basel). 2021;11(12)doi: 10.3390/diagnostics11122303.
Madrid, L., Labrador, S. C., González-Pérez, A., Sáez, M. E., & The Alzheimer's Disease Neuroimaging Initiative Adni. (2021). Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer's Disease. Diagnostics (Basel, Switzerland), 11(12), . https://doi.org/10.3390/diagnostics11122303
Madrid, Laura, et al. "Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer's Disease." Diagnostics (Basel, Switzerland) vol. 11,12 (2021). doi: https://doi.org/10.3390/diagnostics11122303
Madrid L, Labrador SC, González-Pérez A, Sáez ME, The Alzheimer's Disease Neuroimaging Initiative Adni. Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer's Disease. Diagnostics (Basel). 2021 Dec 08;11(12). doi: 10.3390/diagnostics11122303. PMID: 34943540; PMCID: PMC8700271.
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A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer's pathology.

Neurobiology of disease

Pentz R, Iulita MF, Mikutra-Cencora M, Ducatenzeiler A, Bennett DA, Cuello AC.
PMID: 33130223
Neurobiol Dis. 2021 Jan;148:105150. doi: 10.1016/j.nbd.2020.105150. Epub 2020 Oct 30.

Matrix metalloproteinase-3 (MMP-3) has been associated with risk of Alzheimer's disease (AD). In this study we introduce a novel role for MMP-3 in degrading nerve growth factor (NGF) in vivo and examine its mRNA and protein expression across the...

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Pentz R, Iulita MF, Mikutra-Cencora M, et al. A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer's pathology. Neurobiol Dis. 2020;148:105150doi: 10.1016/j.nbd.2020.105150.
Pentz, R., Iulita, M. F., Mikutra-Cencora, M., Ducatenzeiler, A., Bennett, D. A., & Cuello, A. C. (2021). A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer's pathology. Neurobiology of disease, 148105150. https://doi.org/10.1016/j.nbd.2020.105150
Pentz, Rowan, et al. "A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer's pathology." Neurobiology of disease vol. 148 (2021): 105150. doi: https://doi.org/10.1016/j.nbd.2020.105150
Pentz R, Iulita MF, Mikutra-Cencora M, Ducatenzeiler A, Bennett DA, Cuello AC. A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer's pathology. Neurobiol Dis. 2021 Jan;148:105150. doi: 10.1016/j.nbd.2020.105150. Epub 2020 Oct 30. PMID: 33130223; PMCID: PMC7856186.
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Monitoring Recessions: A Bayesian Sequential Quickest Detection Method.

International journal of forecasting

Li H, Sheng XS, Yang J.
PMID: 33716367
Int J Forecast. 2021 Apr-Jun;37(2):500-510. doi: 10.1016/j.ijforecast.2020.06.013. Epub 2020 Aug 18.

Monitoring business cycles faces two potentially conflicting objectives: accuracy and timeliness. To strike a balance between the dual objectives, we develop a Bayesian sequential quickest detection method to identify turning points in real time and propose a sequential stopping...

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Li H, Sheng XS, Yang J. Monitoring Recessions: A Bayesian Sequential Quickest Detection Method. Int J Forecast. 2020;37(2):500-510doi: 10.1016/j.ijforecast.2020.06.013.
Li, H., Sheng, X. S., & Yang, J. (2021). Monitoring Recessions: A Bayesian Sequential Quickest Detection Method. International journal of forecasting, 37(2), 500-510. https://doi.org/10.1016/j.ijforecast.2020.06.013
Li, Haixi, et al. "Monitoring Recessions: A Bayesian Sequential Quickest Detection Method." International journal of forecasting vol. 37,2 (2021): 500-510. doi: https://doi.org/10.1016/j.ijforecast.2020.06.013
Li H, Sheng XS, Yang J. Monitoring Recessions: A Bayesian Sequential Quickest Detection Method. Int J Forecast. 2021 Apr-Jun;37(2):500-510. doi: 10.1016/j.ijforecast.2020.06.013. Epub 2020 Aug 18. PMID: 33716367; PMCID: PMC7944410.
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