Dr. Bishal Gurung

Name

Dr. Bishal Gurung
Completed
  1. Forecasting of spatio-temporal time series data using Space Time Autoregressive Moving Average (STARMA) model
  2. Crop yield forecasting under Forecasting Agricultural output using Space Agro meteorology and Land based observation (FASAL) scheme
  3. Future perspective of Bt technology in Indian agriculture
  4. Development of count time-series models for predicting pest dynamics using weather variables
  5. A study of stochastic volatility models through particle filtering. (PI)
  6. A study on STAR and SV families of nonlinear time-series models for describing cyclicity and volatility in Agriculture
  7. A study on modelling and forecasting of time-series with long memory processes
  8. Study on volatility spillover of agricultural commodity prices
  9. Modelling and construction of transcriptional regulatory network using time-series gene expression data
  10. A Study on Price Efficiency in Agricultural Commodity Market
E-mail

Bishal[dot]Gurung[at]icar[dot]gov[dot]in
Designation

Senior Scientist
Awards
  1. Awarded the G. R. Seth MemorialYoung Scientist Award by Indian Society of Agricultural Statistics in the 67th Annual conference held in BHU, Varanasi during 18th -20th December, 2013
  2. Qualified CSIR-NET (2009) in Mathematical Sciences conducted by Council of scientific and industrial research (CSIR), New Delhi.
  3. Qualified ICAR-NET (2009) in Agricultural Statistic sconducted by Indian Council of Agricultural Research, New Delhi.
  4. IARI Merit Scholarship by Indian Agricultural Research Institute, New Delhi during the period 2008 to 2011. Stood 1st in Agricultural Statistics in IARI Ph.D. entrance.
  5. Stood 1st in Agricultural Statistics in ICAR Junior Research Fellowship (JRF) Entrance by Indian Council of Agricultural Research, New Delhi in 2006.
  6. University Merit Scholarship by Uttar BangaKrishiViswaVidyalaya, Coochbehar, West Bengal during the period 2002 to 2006
Articles
  1. Gurung, Bishal, Singh, K.N., Shekhawat, Ravinder, and Yeasin, Md (2017). An insight into technology diffusion of tractor through Weibull growth model. Journal of Applied Statistics. http://dx.doi.org/10.1080/02664763.2017.1289504
  2. Rathod, S., Singh, K,N., Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price.  Journal of the Indian Society of agricultural Statistics. 71(2): 103–111.
  3. Gurung, Bishal, Singh, K.N., Shekhawat, Ravinder, and Yeasin, Md (2017). An insight into technology diffusion of tractor through Weibull growth model. Journal of Applied Statistics. http://dx.doi.org/10.1080/02664763.2017.1289504
  4. Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Panwar, Sanjeev, Gurung, Biwash, and Lepcha, Lawrence (2017). An alternative method for forecasting price volatility by combining models. Communications in Statistics: Simulation and Computation. 46(6), 4627-4636. http://dx.doi.org/10.1080/03610918.2015.1124115
  5. Gurung, Bishal, Panwar, Sanjeev, Singh, K.N., Banerjee, Rahul, Gurung, Sisir Raj, and Rathod, Abhisek (2017). Wheat Yield Forecast Using Detrended Yield over a Sub-Humid Climatic Environment In Five Districts of Uttar Pradesh, India. Indian Journal of Agricultural Sciences. 87(1), 87-91.
  6. Kanchan, S., Gurung, Bishal, Paul, R.K., Kumar, A., Panwar, S., Alam, W., Ray, M. and Rathod, S. (2017). Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of black pepper. Journal of the Indian Society of Agricultural Statistics. 71(1), 21-28.
  7. Ibandalin, M., Kumar, S., Gurung, Bishal, Singh, K.H., and Singh, D.(2017).ASimple Spectrophotometric Method for Estimating Total Glucosinolates in Mustard de-oiled  International Journal of Food Properties.  http://dx.doi.org/10.1080/10942912.2017.1286353
  8. Rathod, S., Singh, K, N. Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, Bishal, Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price. Journal of the Indian Society of Agricultural Statistics. 71(2): 103–111.
  9. Panwar, S, Singh, KN, Kumar, A, Gurung, Bishal, Sarkar, S., Sivaramane and Rathore, A (2017). Pre harvest forecasting of crop yield using non-linear regression modelling: A concept. Indian Journal of Agricultural Sciences, 87(5), 685-689.
  10. Bansal, Ruchi, Pradheep, K., Kumari, Jyoti, Kumar, S., Yadav, MC, Gurung, Bishal, Kumari, NKP, Rana, JC. (2016). Physiological and biochemical evaluation for drought tolerance in wheat germplasm collected from arid western plains of India. Indian Journal of Biochemistry and Biophysics, 53, 212-217.
  11. Gurung, Bishal, Singh, K.N., Prajneshu, and Avnish Grover. (2016). Analysis of cyclical fish landings through ESTAR nonlinear time-series approach. Indian Journal of Fisheries. 63(2), 110-113.
  12. Panwar, S, Kumar, A, Singh, KN, Gurung, Bishal and Rathore, A (2016). Use of Weather Indices approach in wheat yield crop forecast. J. Tropical Agril., ISSN: 0254-8755, 1-4.
  13. Sanjeev Panwar, Anil Kumar, Priya Sharma and Gurung, Bishal (2017). Analysis of Volatile Export Data of Fruits and Vegetables Seeds: An Application of Stochastic Volatility Model using the Particle Filter. Ind. Jour. Agril. Mark. 31(1), 32-41.
  14. Hemlata Bharti , P. Manivel, Gurung, Bishal, and Jitendra Kumar. (2017) Multivariate analysis of yield associated traits in Safed musli (Chlorophytum borivilianum) genotypes under semi-arid conditions. Indian Journal of Horticulture, 74(2), 264-270.
  15. Angami, T., Assumi, S.R., Baruah, S., Sen, A., Bam, B., Khatoon, A., Gurung, Bishal and H. Kalita. (2017) A Study on the Quality Changes of Taktir Fruits (Garcinia lancifolia. Roxb) in Different Packages during Storage. International Journal of Current Microbiology and Applied Sciences, 6(8), 928-936.
  16. Bhardwaj S.P, Gurung, Bishal, Kanchan Sinha and K.N. Singh (2016) Study on Market Efficiency and Price Risk Management in Future Trading. Ind. Jr. of Agril. Marketing. 30 (3), 48-58.
  17. Panwar, S, Kumar, A, Sarkar, SK, Paul, RK, Gurung, Bishal and Rathore, A (2016) Forecasting of common carp fish production from ponds using non-linear growth models: A modelling approach. Journal of the Indian Society of Agricultural Statistics, 70 (2), 139–144.
  18. Paul, AK, Kundu, MG, Paul, RK and Gurung, Bishal (2016). Usefulness of Growth Curve Parameters in early selection of pigs. Journal of the Society for Application of Statistics in Agriculture and Allied Sciences (SASAA), 1(2), 27-34.
  19. Panwar, S, Singh, KN, Kumar, A, Paul, RK, Sarkar, SK, Gurung, Bishal and Rathore, A (2017). Performance evaluation of yield crop forecasting models using weather index regression analysis. The Ind. Jour. Agril. Sci., 87 (2), 270-272.
  20. Paul, RK, Gurung, Bishal, Paul, AK and Samanta, S (2016). Long memory in conditional variance. Journal of the Indian Society of Agricultural Statistics, 70(3), 243-254.
  21. Amit Saha, SP Bhardwaj, KN Singh, Kanchan Sinha, Avnish Grover and Gurung, Bishal (2016). Hedge ratio based on Ordinary Least Square (OLS) vs. State space methodologies. Journal of Indian Society of Agricultural Statistics. 71(1), 15-20.
  22. NamitaDas Saha, Anita Chaudhary, Shiv Dhar Singh, Suresh Walia, Tapas Kumar Das, Dinesh Singh, Bhawana Pant, Arpan Bhowmik, Bishal Gurung and Himanshu Pathak. (2016) Climate change variables induced soft rot causing plant pathogen to produce new quorum sensing (cell to cell communication) signal for enhanced pathogenesis. Indian Phytopatholog, 69(4s),260-265
  23. Achal Lama, Girish K Jha, Gurung, Bishal, Ranjit Kumar Paul and
    Kanchan Sinha (2016).  VAR-MGARCH models for volatility modelling pulses prices: An application. Journal of Indian Society of Agricultural Statistics. 70(2),145-151.
  24. Achal Lama, Girish K Jha, Gurung, Bishal, Ranjit Kumar Paul, Anshu Bharadwaj and Rajender Parsad. (2016) A comparative study on
    time-delay neural network and GARCH models for forecasting agricultural commodity price volatility. Journal of Indian Society of Agricultural Statistics 70(1), 7-18. 
  25. Gurung, Bishal, Paul, Ranjit Kumar, Singh, K.N., Panwar, Sanjeev, Lama, Achal and Lepcha, Lawrence (2015). An alternative approach to capture cyclical and volatile phenomena in time-series data. Model Assisted Statistics and Applications. 11(3), 221-230.
  26. Paul, Ranjit Kumar, Gurung, Bishal, Samanta, Sandipan, and Amrit Kumar Paul (2015). Modeling Long Memory in Volatility for Spot Price of Lentil with Multi-step Ahead Out-of-sample Forecast Using AR-FIGARCH Model. Economic Affairs, 60(3), 457-466.
  27. Paul, Ranjit Kumar, Samanta, Sandipan, and Gurung, Bishal (2015). Monte Carlo simulation for comparison of different estimators of long memory parameter: An application of ARFIMA model for forecasting commodity price. Model Assisted Statistics and Applications. 10 (2), 117-128.
  28. Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Arya, Prawin, Panwar, Sanjeev, Paul, Amrit, Gurung, Sisir Raj and Lama, Achal (2015). Fitting Stochastic Volatility model through Genetic Algorithm. International Journal of Agricultural and Statistical Sciences. 11, Supplement 1,257-264.
  29. Joshi, Deepika, Singh, H.P., and Gurung, Bishal (2015). Stability Analysis of Indian Spices Export – A Markov Chain Approach. Economic Affairs. 60 (2), 257-262.
  30. Ranjit Kumar Paul, P. S. Birthal, Amrit Kumar Paul and Gurung, Bishal (2015). Temperature trend in different agro-climatic zones in India. 66(4), 841-846.
  31. Lama, Achal, Jha, GK, Paul, Ranjit Kumar, Gurung, Bishal (2015). Modelling and forecasting of price volatility: An application of GARCH and EGARCH models. Agricultural Economics Research Review. 28 (1), 73-82.
  32. Gurung, Bishal (2015). An Exponential Autoregressive (EXPAR) model for the forecasting of All India annual rainfall. 66(4), 847-849.
  33. Devi, C.P., Munshi, A.D., Behera, T.K., Choudhary, H., Vinod, Gurung, Bishal, Saha, P. (2015). Cross compatibility study in interspecific hybridization of Solanum melongena and its wild relatives. Scientia Horticulturae. 193, 353–358.
  34. Paul, Ranjit Kumar, Gurung, Bishal, and Samanta, Sandipan (2015). Analyzing the Effect of Dual Long Memory Process in Forecasting Agricultural Prices in Different Markets of India. International Journal of Empirical Finance. 4(4), 235-249.
  35. Ghosh, Himadri, Gurung, Bishal, and Prajneshu (2014). Kalman filter based modelling and forecasting of stochastic volatility with threshold. Journal of Applied Statistics. 42(3), 492-507.
  36. Ghosh, Himadri, Gurung, Bishal, and Prajneshu (2014). Fitting EXPAR models through the extended Kalman filter. Sankhya B. 77(B 1), 27-44.
  37. Gurung, Bishal, Paul, Ranjit Kumar and Ghosh, Himadri. (2014) Fitting Smooth Transition Autoregressive nonlinear time-series model using Particle Swarm Optimization technique. Journal of Indian Society of Agricultural Statistics. 68(3), 327-332.
  38. Lawrence Lepcha, Gurung, Bishal, Paul, Ranjit Kumar, and Kanchan Sinha (2014). Stochastic model for sticklac forecasting in India. Economic Affairs. 59(3),479-483.
  39. Gurung, Bishal, Paul, Ranjit Kumar, and Lawrence Lepcha (2014). Volatility and cointegration in export of livestock and marine products of India. Indian Journal of Animal Sciences. 84(11),1244-1247.
  40. Gurung, Bishal, Prajneshu, and Ghosh, Himadri (2014). Stochastic Volatility Model Fitting using Particle Filter: An Application. Journal of Indian Society of Agricultural Statistics. 68(3), 343-350.
  41. Paul, Ranjit Kumar, Gurung, Bishal, and Paul, Amrit Kumar (2014). Modelling and forecasting of retail price of Arhar Dal in Karnal, Haryana. Indian Journal of Agricultural Sciences. 85(1), 69-52.
  42. Assumi, R., Pal, R.K., Gurung, Bishal, and Kaur, C. (2014). Physico-chemical characteristics and sensory quality of pineapple vermouth. Indian Journal of Horticulture. 71(3), 402-407.
  43. Gurung, Bishal (2014). Fitting nonlinear time-series model using Swarm Optimization technique. Advance in Electronic and Electric Engineering, 4(6), 537-540.
  44. Gurung, Bishal, Ghosh, Himadri and Prajneshu (2013). Forecasting volatile time-series data through Stochastic volatility model, Indian Journal of Agricultural Sciences, 83(12), 1368-71.
  45. Gurung, Bishal (2013). Modelling and forecasting of volatile time-series data: An application of Genetic International Journal of Agricultural and Statistical Sciences. 9, 87-94.
  46. Gurung, Bishal (2013). An application of Exponential Autoregressive (EXPAR) nonlinear time-series model. International Journal of Information and Computation Technology. 3(4), 261-266.
  47. Ghosh, Himadri, Gurung, Bishal, and Prajneshu (2011). Methodology for combining linear and nonlinear time-series models for cyclical data. Journal of Indian Society of Agricultural Statistics, 65, 249-56.
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