-
1
-
-
0001342006
-
A new approach to the economic analysis of nonstationary time series and the business cycle
-
Hamilton J,. A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 1989 27: 1006-1026.
-
(1989)
Econometrica
, vol.27
, pp. 1006-1026
-
-
Hamilton, J.1
-
2
-
-
84856402022
-
Estimating probabilities of recession in real time using GDP and GDI
-
Nalewaik J,. Estimating probabilities of recession in real time using GDP and GDI. Journal of Money, Credit and Banking 2012 44: 235-253.
-
(2012)
Journal of Money, Credit and Banking
, vol.44
, pp. 235-253
-
-
Nalewaik, J.1
-
3
-
-
0000076932
-
New indexes of coincident and leading economic indicators
-
Stock J, Watson M,. New indexes of coincident and leading economic indicators. NBER Macroeconomic Annual 1989 4: 351-394.
-
(1989)
NBER Macroeconomic Annual
, vol.4
, pp. 351-394
-
-
Stock, J.1
Watson, M.2
-
4
-
-
0003153605
-
A probability model of the coincident economic indicators
-
Lahiri K. Moore G. (eds), Cambridge University Press, Cambridge.
-
Stock J, Watson M,. 1999. A probability model of the coincident economic indicators, In In Leading Economic Indicators: New Approaches and Forecasting Records, Lahiri K, Moore G, (eds), Cambridge University Press, Cambridge.
-
(1999)
Leading Economic Indicators: New Approaches and Forecasting Records
-
-
Stock, J.1
Watson, M.2
-
5
-
-
15544388646
-
Forecasting recessions using the yield curve
-
DOI 10.1002/for.932
-
Chauvet M, Potter S,. Forecasting recessions using the yield curve. Journal of Forecasting 2005 24 (2): 77-103. (Pubitemid 40402367)
-
(2005)
Journal of Forecasting
, vol.24
, Issue.2
, pp. 77-103
-
-
Chauvet, M.1
Potter, S.2
-
6
-
-
0039066423
-
Predicting U.S. Recessions: Financial Variables as Leading Indicators
-
Estrella A, Mishkin F,. Predicting US recessions: financial variables as leading indicators. Review of Economics and Statistics 1998 80 (1): 45-61. (Pubitemid 128071465)
-
(1998)
Review of Economics and Statistics
, vol.80
, Issue.1
, pp. 45-61
-
-
Estrella, A.1
Mishkin, F.S.2
-
7
-
-
55549127175
-
Predicting US recessions with dynamic binary response models
-
Kauppi H, Saikkonen P,. Predicting US recessions with dynamic binary response models. The Review of Economics and Statistics 2008 90 (4): 777-791.
-
(2008)
The Review of Economics and Statistics
, vol.90
, Issue.4
, pp. 777-791
-
-
Kauppi, H.1
Saikkonen, P.2
-
8
-
-
38349037128
-
Dating business cycle turning points
-
Milas C. Rothman P. van Dijk D. (eds), Elsevier, Amsterdam.
-
Chauvet M, Hamilton J,. 2006. Dating business cycle turning points, In In Nonlinear Time Series Analysis of Business Cycles, Milas C, Rothman P, van Dijk D, (eds), Elsevier, Amsterdam.
-
(2006)
Nonlinear Time Series Analysis of Business Cycles
-
-
Chauvet, M.1
Hamilton, J.2
-
9
-
-
33646425618
-
What's real about the business cycle?
-
Hamilton J,. What's real about the business cycle? Federal Reserve Bank of St. Louis Review 2005 87: 435-452. (Pubitemid 43678947)
-
(2005)
Federal Reserve Bank of St. Louis Review
, vol.87
, Issue.4
, pp. 435-452
-
-
Hamilton, J.D.1
-
10
-
-
38349051931
-
A comparison of the real-time performance of business cycle dating methods
-
Chauvet M, Piger J,. A comparison of the real-time performance of business cycle dating methods. Journal of Business and Economic Statistics 2008 26 (1): 42-49.
-
(2008)
Journal of Business and Economic Statistics
, vol.26
, Issue.1
, pp. 42-49
-
-
Chauvet, M.1
Piger, J.2
-
12
-
-
77953511561
-
Introducing the euro-sting: Short-term indicator of euro area growth
-
Camacho M, Perez-Quiros G,. Introducing the euro-sting: short-term indicator of euro area growth. Journal of Applied Econometrics 2010 25 (4): 663-694.
-
(2010)
Journal of Applied Econometrics
, vol.25
, Issue.4
, pp. 663-694
-
-
Camacho, M.1
Perez-Quiros, G.2
-
14
-
-
77956802000
-
Modeling complex phenotypes: Generalized linear models using spectrogram predictors of animal communication signals
-
Holan S, Wikle C, Sullivan-Beckers L, Cocroft R,. Modeling complex phenotypes: generalized linear models using spectrogram predictors of animal communication signals. Biometrics 2010 66 (3): 914-924.
-
(2010)
Biometrics
, vol.66
, Issue.3
, pp. 914-924
-
-
Holan, S.1
Wikle, C.2
Sullivan-Beckers, L.3
Cocroft, R.4
-
16
-
-
77949757564
-
Functional generalized linear models with images as predictors
-
Reiss P, Ogden RT,. Functional generalized linear models with images as predictors. Biometrics 2010 66 (1): 61-69.
-
(2010)
Biometrics
, vol.66
, Issue.1
, pp. 61-69
-
-
Reiss, P.1
Ogden, R.T.2
-
17
-
-
80054689503
-
Automated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data
-
Morris J, Baladandayuthapani V, Herrick R, Sanna P, Gutstein H,. Automated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data. The Annals of Applied Statistics 2011 5 (2): 894-923.
-
(2011)
The Annals of Applied Statistics
, vol.5
, Issue.2
, pp. 894-923
-
-
Morris, J.1
Baladandayuthapani, V.2
Herrick, R.3
Sanna, P.4
Gutstein, H.5
-
18
-
-
33847296651
-
MIDAS regressions: Further results and new directions
-
Ghysels E, Sinko A, Valkanov R,. MIDAS regressions: further results and new directions. Econometric Reviews 2007 26 (1): 53-90.
-
(2007)
Econometric Reviews
, vol.26
, Issue.1
, pp. 53-90
-
-
Ghysels, E.1
Sinko, A.2
Valkanov, R.3
-
20
-
-
77649270244
-
Mixed frequency models: Bayesian approaches to estimation and prediction
-
Rodriguez A, Puggioni G,. Mixed frequency models: Bayesian approaches to estimation and prediction. International Journal of Forecasting 2010 26 (2): 293-311.
-
(2010)
International Journal of Forecasting
, vol.26
, Issue.2
, pp. 293-311
-
-
Rodriguez, A.1
Puggioni, G.2
-
22
-
-
0000414912
-
A dimension-reduced approach to space-time Kalman filtering
-
Wikle C, Cressie N,. A dimension-reduced approach to space-time Kalman filtering. Biometrika 1999 86 (4): 815-829.
-
(1999)
Biometrika
, vol.86
, Issue.4
, pp. 815-829
-
-
Wikle, C.1
Cressie, N.2
-
25
-
-
35348906983
-
Functional principal component regression and functional partial least squares
-
Reiss P, Ogden R,. Functional principal component regression and functional partial least squares. Journal of the American Statistical Association 2007 102 (479): 984-996.
-
(2007)
Journal of the American Statistical Association
, vol.102
, Issue.479
, pp. 984-996
-
-
Reiss, P.1
Ogden, R.2
-
27
-
-
0031526204
-
Approaches for Bayesian variable selection
-
George E, McCulloch R,. Approaches for Bayesian variable selection. Statistica Sinica 1997 7: 339-374. (Pubitemid 127084819)
-
(1997)
Statistica Sinica
, vol.7
, Issue.2
, pp. 339-374
-
-
George, E.I.1
McCulloch, R.E.2
-
28
-
-
0001259111
-
Bayesian model averaging: A tutorial
-
Hoeting J, Madigan D, Raftery A, Volinsky C,. Bayesian model averaging: a tutorial. Statistical Science 1999 14: 382-401.
-
(1999)
Statistical Science
, vol.14
, pp. 382-401
-
-
Hoeting, J.1
Madigan, D.2
Raftery, A.3
Volinsky, C.4
-
33
-
-
84916537550
-
Bayesian analysis of binary and polychotomous response data
-
Albert J, Chib S,. Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 1993 88 (422): 669-679.
-
(1993)
Journal of the American Statistical Association
, vol.88
, Issue.422
, pp. 669-679
-
-
Albert, J.1
Chib, S.2
-
35
-
-
69249230467
-
A review of bayesian variable selection methods: What, how and which
-
O'Hara R, Sillanpää M,. A review of bayesian variable selection methods: what, how and which. Bayesian Analysis 2009 4 (1): 85-118.
-
(2009)
Bayesian Analysis
, vol.4
, Issue.1
, pp. 85-118
-
-
O'Hara, R.1
Sillanpää, M.2
-
36
-
-
79953803804
-
-
chap. 8: Low Rank Representations as Models for Spatial Processes, Chapman and Hall/CRC: Boca Raton.
-
Wikle C,. Handbook of Spatial Statistics, chap. 8: Low Rank Representations as Models for Spatial Processes, Chapman and Hall/CRC: Boca Raton, 2010.
-
(2010)
Handbook of Spatial Statistics
-
-
Wikle, C.1
-
37
-
-
0003675176
-
-
Prentice Hall: Upper Saddle River, NJ.
-
Johnson R, Wichern D,. Applied Multivariate Statistical Analysis, Vol. 4, Prentice Hall: Upper Saddle River, NJ, 2002.
-
(2002)
Applied Multivariate Statistical Analysis
, vol.4
-
-
Johnson, R.1
Wichern, D.2
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